input: 
  def generateMarkov(text: str) -> str:
      """ Generate a Markov chain from the given text input and produce 
      a sequence of words based on the initial Markov chain.
      >>> generateMarkov('Alice was beginning to get very tired of sitting by her sister on the bank, and of having nothing to do: once or twice she had peeped into the book her sister was reading, but it had no pictures or conversations in it, `and what is the use of a book,' thought Alice `without pictures or conversation?')
      'and what is the use of a book,' thought Alice 'without pictures or conversation?'
      """
  
output:     import random
      from collections import defaultdict
  
      words = text.split()
      markov_chain = defaultdict(list)
  
      for i in range(len(words) - 1):
          markov_chain[words[i]].append(words[i + 1])
  
      start_word = random.choice(words)
      result = [start_word]
  
      while start_word in markov_chain:
          next_word = random.choice(markov_chain[start_word])
          result.append(next_word)
          start_word = next_word
  
      return ' '.join(result)