input: Write a function to tokenize a given text using NLTK's word_tokenize function. The function should take a string as input and return a list of tokens. If the input string is empty, the function should return an empty list.
  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("Text processing using NLTK is quite useful.")==['Text', 'processing', 'using', 'NLTK', 'is', 'quite', 'useful', '.']
  assert tokenize_text("")==[]
output: def tokenize_text(text):
      if text == "":
          return []
      return word_tokenize(text)