问如何提取大写第一字母，每个单元格多个单词，理想情况下，忽略第一句与谷歌表，REGEXEXTRACT公式？

EN

# Importing the required libraries
import nltk 
from nltk.corpus import stopwords 
from nltk.tokenize import word_tokenize, sent_tokenize

# Function to extract the proper nouns 

def ProperNounExtractor(text):
    
    print('PROPER NOUNS EXTRACTED :')
    
    sentences = nltk.sent_tokenize(text)
    for sentence in sentences:
        words = nltk.word_tokenize(sentence)
        words = [word for word in words if word not in set(stopwords.words('english'))]
        tagged = nltk.pos_tag(words)
        for (word, tag) in tagged:
            if tag == 'NNP': # If the word is a proper noun
                print(word)

text =  """Down the Rabbit-Hole
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?'
So she was considering in her own mind (as well as she could, for the hot day made her feel very sleepy and stupid), whether the pleasure of making a daisy-chain would be worth the trouble of getting up and picking the daisies, when suddenly a White Rabbit with pink eyes ran close by her.

There was nothing so very remarkable in that; nor did Alice think it so very much out of the way to hear the Rabbit say to itself, `Oh dear! Oh dear! I shall be late!' (when she thought it over afterwards, it occurred to her that she ought to have wondered at this, but at the time it all seemed quite natural); but when the Rabbit actually took a watch out of its waistcoat-pocket, and looked at it, and then hurried on, Alice started to her feet, for it flashed across her mind that she had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it, and fortunately was just in time to see it pop down a large rabbit-hole under the hedge."""

# Calling the ProperNounExtractor function to extract all the proper nouns from the given text. 
ProperNounExtractor(text)