Replace values in a dataframe in python with the dictionary, where the dictionary values are lists

Question

import pandas as pd
import yfinance as yf

msft = yf.Ticker("MSFT")

df= msft.recommendations

df['ToGrade_new'] = df['To Grade'].str.lower().str.replace('[^\w\s]','')

new_df = df['ToGrade_new'].str.split(expand=True).stack().value_counts().reset_index()

new_df.columns = ['Word', 'Frequency']

newdict = {'VGood': ['buy', 'strong'], 'Good': ['moderate', 'overweight'], 'Okay': ['hold', 'equalweight', 'market','neutral'], 'Bad': ['underperform','moderatesell','underweight'], 'VBad':['sell']}

I need help here. I want to replace the Word column in the new_df dataframe with the words I have for keys in the newdict dictionary. Any help would be appreciated.

If new_df looks like this

Word Frequency

buy 121

overweight 82 ...

then it should be replaced by

Word Frequency

VGood 121

Good 82 ...