如何在CoreNLP中迭代具有共同引用结果的标记属性？

import edu.stanford.nlp.pipeline.Annotation;
import edu.stanford.nlp.pipeline.StanfordCoreNLP;
import edu.stanford.nlp.util.CoreMap;
import edu.stanford.nlp.ling.CoreAnnotations;

Properties props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

String text = "这是一个示例句子。";
Annotation document = new Annotation(text);

pipeline.annotate(document);

List<CoreMap> sentences = document.get(CoreAnnotations.SentencesAnnotation.class);
for (CoreMap sentence : sentences) {
    // 获取句子中的标记属性
    List<CoreLabel> tokens = sentence.get(CoreAnnotations.TokensAnnotation.class);
    for (CoreLabel token : tokens) {
        // 获取具有共同引用结果的标记属性
        String lemma = token.get(CoreAnnotations.LemmaAnnotation.class);
        String pos = token.get(CoreAnnotations.PartOfSpeechAnnotation.class);
        String ner = token.get(CoreAnnotations.NamedEntityTagAnnotation.class);
        
        // 在这里进行你的处理逻辑
    }
}