input: Write a function to extract the top 10 most frequent words from a given text. The function should return a list of tuples where each tuple contains a word and its frequency, sorted in descending order by frequency. If the text is empty, the function should return an empty list.
  assert get_top_n_words("Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.") == [('dolor', 1), ('Lorem', 1), ('ipsum', 1), ('amet', 1), ('consectetur', 1), ('adipiscing', 1), ('elit,', 1), ('sed', 1), ('do', 1), ('eiusmod', 1)]
  assert get_top_n_words("This is a test. Test is important.") == [('is', 2), ('test', 2), ('This', 1), ('a', 1), ('important.', 1)]
  assert get_top_n_words("") == []
output: def get_top_n_words(text):
      if not text:
          return []
      words = text.split()
      freq = {}
      for word in words:
          if word in freq:
              freq[word] += 1
          else:
              freq[word] = 1
      sorted_freq = sorted(freq.items(), key=lambda x: x[1], reverse=True)
      return sorted_freq[:10]