import nltk  
nltk.download('averaged_perceptron_tagger')  
nltk.download('punkt')  

from nltk.tokenize import word_tokenize  
from nltk import pos_tag  

sentence = "The quick brown fox jumps over the lazy dog."  
tokens = word_tokenize(sentence)  
tags = pos_tag(tokens)  

print(tags)  
# [('The', 'DT'), ('quick', 'JJ'), ('brown', 'JJ'), ('fox', 'NN'),  
#  ('jumps', 'VBZ'), ('over', 'IN'), ('the', 'DT'), ('lazy', 'JJ'), ('dog', 'NN'), ('.', '.')]