input: Write a function that tokenizes a given text using NLTK's word_tokenize. The function should take a single string argument representing the text to be tokenized and return a list of tokens.
  
  
  import nltk 
  from nltk.tokenize import word_tokenize 
  
  def tokenize_text(text):
      return word_tokenize(text)
  
  # Test cases
  assert tokenize_text('Python is an interpreted, high-level, general-purpose programming language.') == ['Python', 'is', 'an', 'interpreted', ',', 'high-level', ',', 'general-purpose', 'programming', 'language', '.']
  assert tokenize_text('Hello, world!') == ['Hello', ',', 'world', '!']
  assert tokenize_text('') == []
  assert tokenize_text('This is a test.') == ['This', 'is', 'a', 'test', '.']
  assert tokenize_text('Tokenize this sentence.') == ['Tokenize', 'this', 'sentence', '.']
  
output: def tokenize_text(text):
      return word_tokenize(text)