# import pypyjit # pypyjit.set_param('max_unroll_recursion=-1') from collections import defaultdict as dd S = input R = range P = print def I(): return int(S()) def M(): return map(int, S().split()) def L(): return list(M()) def O(): return list(map(int, open(0).read().split())) def yn(b): print("Yes" if b else "No") biga = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" smaa = "abcdefghijklmnopqrstuvwxyz" ctoi = lambda c: ord(c) - ord('a') itoc = lambda i: chr(ord('a') + i) inf = 10 ** 18 mod = 998244353 def acc(a): b = [0] for i in a: b.append(b[-1] + i) return b import typing class DSU: ''' Implement (union by size) + (path halving) Reference: Zvi Galil and Giuseppe F. Italiano, Data structures and algorithms for disjoint set union problems ''' def __init__(self, n: int = 0) -> None: self._n = n self.parent_or_size = [-1] * n def merge(self, a: int, b: int) -> int: assert 0 <= a < self._n assert 0 <= b < self._n x = self.leader(a) y = self.leader(b) if x == y: return x if -self.parent_or_size[x] < -self.parent_or_size[y]: x, y = y, x self.parent_or_size[x] += self.parent_or_size[y] self.parent_or_size[y] = x return x def same(self, a: int, b: int) -> bool: assert 0 <= a < self._n assert 0 <= b < self._n return self.leader(a) == self.leader(b) def leader(self, a: int) -> int: assert 0 <= a < self._n parent = self.parent_or_size[a] while parent >= 0: if self.parent_or_size[parent] < 0: return parent self.parent_or_size[a], a, parent = ( self.parent_or_size[parent], self.parent_or_size[parent], self.parent_or_size[self.parent_or_size[parent]] ) return a def size(self, a: int) -> int: assert 0 <= a < self._n return -self.parent_or_size[self.leader(a)] def groups(self) -> typing.List[typing.List[int]]: leader_buf = [self.leader(i) for i in range(self._n)] result: typing.List[typing.List[int]] = [[] for _ in range(self._n)] for i in range(self._n): result[leader_buf[i]].append(i) return list(filter(lambda r: r, result)) n,m=M() c=L() uf=DSU(n) for _ in R(m): a,b=M() if c[a-1]==c[b-1]: uf.merge(a-1,b-1) cnt=[0]*n for i in uf.groups(): s=set() for j in i:s.add(c[j]) for j in list(s):cnt[j-1]+=1 P(sum(max(0,i-1)for i in cnt))