input: Write a python function to fetch and analyze the sentiment of the latest tweets from a given Twitter account.
  assert fetch_and_analyze_tweets('example_account')==[(0.1, 0.2), (-0.2, 0.3), (0.0, 0.4)]
  assert fetch_and_analyze_tweets('another_account')==[(0.3, 0.5), (-0.1, 0.6), (0.2, 0.3)]
  assert fetch_and_analyze_tweets('third_account')==[(0.0, 0.1), (0.1, 0.2), (-0.3, 0.4)]
output: def fetch_and_analyze_tweets(account):
      import tweepy
      from textblob import TextBlob
      
      # Please replace these with your actual credentials
      consumer_key = 'YOUR_CONSUMER_KEY'
      consumer_secret = 'YOUR_CONSUMER_SECRET'
      access_token = 'YOUR_ACCESS_TOKEN'
      access_token_secret = 'YOUR_ACCESS_TOKEN_SECRET'
      
      # Authenticate to Twitter
      auth = tweepy.OAuth1UserHandler(consumer_key, consumer_secret, access_token, access_token_secret)
      api = tweepy.API(auth)
      
      # Fetch the latest tweets from the given account
      tweets = api.user_timeline(screen_name=account, count=10, tweet_mode='extended')
      
      sentiment_scores = []
      for tweet in tweets:
          analysis = TextBlob(tweet.full_text)
          sentiment_scores.append((analysis.sentiment.polarity, analysis.sentiment.subjectivity))
      
      return sentiment_scores