import stanza

stanza.download('kmr')

nlp = stanza.Pipeline(lang='kmr', processors='tokenize,mwt,pos,lemma,depparse')

input_filename = 'your_input_file.txt'
output_filename = 'output_file.txt'

with open(input_filename, 'r', encoding='utf-8') as input_file, \
        open(output_filename, 'w', encoding='utf-8') as output_file:
    for line in input_file:
        line = line.strip()
        doc = nlp(line)
        for sentence in doc.sentences:
            for word in sentence.words:
                output_file.write(f"Word: {word.text}\tPOS: {word.pos}\n")