Tokenize all the words in german_text using word_tokenize(), and print the result. Tokenize only the capital words in ge

Here's the completed code: ``` # Import the necessary modules from nltk.tokenize import word_tokenize, regexp_tokenize # Define the German text german_text = "Wann gehen wir Pizza essen? ? Und fährst du mit Über? ?" # Tokenize and print all words in german_text all_words = word_tokenize(german_text) print(all_words) # Tokenize and print only capital words capital_words = r"[A-ZÜ]\w+" print(regexp_tokenize(german_text, capital_words)) # Tokenize and print only emoji emoji = "['\U0001F300-\U0001F5FF'|'\U0001F600-\U0001F64F'|'\U0001F680-\U0001F6FF'|'\u2600-\u26FF\u2700-\u27BF']" print(regexp_tokenize(german_text, emoji)) ``` The code uses `word_tokenize()` to tokenize all the words in `german_text` and prints the result. It then defines a pattern called `capital_words` that matches only capital words (including the German Ü) and uses `regexp_tokenize()` to tokenize only those words in `german_text`. Finally, it defines a pattern called `emoji` using the unicode ranges for emoji given in the assignment text and uses `