给定一篇英文文本，使用NLTK库和Python编辑器标注其中的词性，输出标注后的文本。
给定的英文文本如下：

"Natural Language Processing (NLP) is a field of research that focuses on the interactions between human language and computers. It involves developing algorithms and models that can understand, analyze, and generate human language."
import nltk

text = "Natural Language Processing (NLP) is a field of research that focuses on the interactions between human language and computers. It involves developing algorithms and models that can understand, analyze, and generate human language."

tokens = nltk.word_tokenize(text)
tagged = nltk.pos_tag(tokens)

print(tagged)

# ouput: [('Natural', 'JJ'), ('Language', 'NNP'), ('Processing', 'NNP'), ('(', '('), ('NLP', 'NNP'), (')', ')'), ('is', 'VBZ'), ('a', 'DT'), ('field', 'NN'), ('of', 'IN'), ('research', 'NN'), ('that', 'WDT'), ('focuses', 'VBZ'), ('on', 'IN'), ('the', 'DT'), ('interactions', 'NNS'), ('between', 'IN'), ('human', 'JJ'), ('language', 'NN'), ('and', 'CC'), ('computers', 'NNS'), ('.', '.'), ('It', 'PRP'), ('involves', 'VBZ'), ('developing', 'VBG'), ('algorithms', 'NNS'), ('and', 'CC'), ('models', 'NNS'), ('that', 'WDT'), ('can', 'MD'), ('understand', 'VB'), (',', ','), ('analyze', 'VB'), (',', ','), ('and', 'CC'), ('generate', 'VB'), ('human', 'JJ'), ('language', 'NN'), ('.', '.')]