You've got an undirected graph, consisting of *n* vertices and *m* edges. We will consider the graph's vertices numbered with integers from 1 to *n*. Each vertex of the graph has a color. The color of the *i*-th vertex is an integer *c*<sub class="lower-index">*i*</sub>.

Let's consider all vertices of the graph, that are painted some color *k*. Let's denote a set of such as *V*(*k*). Let's denote the value of the neighbouring color diversity for color *k* as the cardinality of the set *Q*(*k*) = {*c*<sub class="lower-index">*u*</sub> :  *c*<sub class="lower-index">*u*</sub> ≠ *k* and there is vertex *v* belonging to set *V*(*k*) such that nodes *v* and *u* are connected by an edge of the graph}.

Your task is to find such color *k*, which makes the cardinality of set *Q*(*k*) maximum. In other words, you want to find the color that has the most diverse neighbours. Please note, that you want to find such color *k*, that the graph has at least one vertex with such color.
The first line contains two space-separated integers *n*, *m* (1 ≤ *n*, *m* ≤ 10<sup class="upper-index">5</sup>) — the number of vertices end edges of the graph, correspondingly. The second line contains a sequence of integers *c*<sub class="lower-index">1</sub>, *c*<sub class="lower-index">2</sub>, ..., *c*<sub class="lower-index">*n*</sub> (1 ≤ *c*<sub class="lower-index">*i*</sub> ≤ 10<sup class="upper-index">5</sup>) — the colors of the graph vertices. The numbers on the line are separated by spaces.

Next *m* lines contain the description of the edges: the *i*-th line contains two space-separated integers *a*<sub class="lower-index">*i*</sub>, *b*<sub class="lower-index">*i*</sub> (1 ≤ *a*<sub class="lower-index">*i*</sub>, *b*<sub class="lower-index">*i*</sub> ≤ *n*; *a*<sub class="lower-index">*i*</sub> ≠ *b*<sub class="lower-index">*i*</sub>) — the numbers of the vertices, connected by the *i*-th edge. 

It is guaranteed that the given graph has no self-loops or multiple edges.
'''
@sksshivam007 - Template 1.0
'''
import sys, re, math
from collections import deque, defaultdict, Counter, OrderedDict
from math import ceil, sqrt, hypot, factorial, pi, sin, cos, radians
from queue import Queue
from heapq import heappush, heappop, heapify, nlargest, nsmallest
def STR(): return list(input())
def INT(): return int(input())
def MAP(): return map(int, input().split())
def LIST(): return list(map(int, input().split()))
def list2d(a, b, c): return [[c] * b for i in range(a)]
def sortListWithIndex(listOfTuples, idx):   return (sorted(listOfTuples, key=lambda x: x[idx]))
def sortDictWithVal(passedDic):
    temp = sorted(passedDic.items(), key=lambda kv: (kv[1], kv[0]))[::-1]
    toret = {}
    for tup in temp:
        toret[tup[0]] = tup[1]
    return toret
def sortDictWithKey(passedDic):
    return dict(OrderedDict(sorted(passedDic.items())))

INF = float('inf')
mod = 10 ** 9 + 7

n, m =MAP()


c = LIST()

c.insert(0, 0)

graph = defaultdict(set)

for _ in range(m):
    x,y = MAP()

    graph[x].add(y)
    graph[y].add(x)

lengths = []

for i in range(1, n+1):
    set1 = set()
    for el in graph[i]:
        set1.add(c[el])
    lengths.append(len(set1))

mx = max(lengths)

ans = []

for i in range(n):
    if(lengths[i]==mx):
        ans.append(c[i+1])
print(min(ans))