input: Write a python function to analyze the sentiment of a given text using the NLTK VADER SentimentIntensityAnalyzer.
  assert analyze_sentiment("I love writing code!") == "The sentiment of the text is positive"
  assert analyze_sentiment("I hate bugs in my code!") == "The sentiment of the text is negative"
  assert analyze_sentiment("This is a neutral statement.") == "The sentiment of the text is negative"
output: def analyze_sentiment(text):
      from nltk.sentiment.vader import SentimentIntensityAnalyzer
      from nltk import download
      download('vader_lexicon')
      
      sia = SentimentIntensityAnalyzer()
      sentiment = sia.polarity_scores(text)
      
      if sentiment['compound'] >= 0.05:
          return "The sentiment of the text is positive"
      elif sentiment['compound'] <= -0.05:
          return "The sentiment of the text is negative"
      else:
          return "The sentiment of the text is neutral"