The question is stored as a simple string:

String question =  
    "Who is the 32nd president of the United States?";

We will use the LexicalizedParser class, as developed in the Finding word dependencies using the GrammaticalStructure class section. The relevant code is duplicated here for your convenience:

String parserModel = ".../englishPCFG.ser.gz"; 
LexicalizedParser lexicalizedParser =  
    LexicalizedParser.loadModel(parserModel); 
 
TokenizerFactory<CoreLabel> tokenizerFactory =  
    PTBTokenizer.factory(new CoreLabelTokenFactory(), ""); 
Tokenizer<CoreLabel> tokenizer =  
    tokenizerFactory.getTokenizer(new StringReader(question)); 
List<CoreLabel> wordList = tokenizer.tokenize(); 
Tree parseTree = lexicalizedParser.apply(wordList); 
 
TreebankLanguagePack tlp =  
    lexicalizedParser.treebankLanguagePack(); 
GrammaticalStructureFactory gsf =  
    tlp.grammaticalStructureFactory(); 
GrammaticalStructure gs =  
    gsf.newGrammaticalStructure(parseTree); 
List<TypedDependency> tdl = gs.typedDependenciesCCprocessed(); 
System.out.println(tdl); 
for (TypedDependency dependency : tdl) { 
    System.out.println("Governor Word: [" + dependency.gov()  
        + "] Relation: [" + dependency.reln().getLongName() 
        + "] Dependent Word: [" + dependency.dep() + "]"); 
} 

When executed with the question, we get the following output:

    [root(ROOT-0, Who-1), cop(Who-1, is-2), det(president-5, the-3), amod(president-5, 32nd-4), nsubj(Who-1, president-5), det(States-9, the-7), nn(States-9, United-8), prep_of(president-5, States-9)]
    Governor Word: [ROOT] Relation: [root] Dependent Word: [Who/WP]
    Governor Word: [Who/WP] Relation: [copula] Dependent Word: [is/VBZ]
    Governor Word: [president/NN] Relation: [determiner] Dependent Word: [the/DT]
    Governor Word: [president/NN] Relation: [adjectival modifier] Dependent Word: [32nd/JJ]
    Governor Word: [Who/WP] Relation: [nominal subject] Dependent Word: [president/NN]
    Governor Word: [States/NNPS] Relation: [determiner] Dependent Word: [the/DT]
    Governor Word: [States/NNPS] Relation: [nn modifier] Dependent Word: [United/NNP]
    Governor Word: [president/NN] Relation: [prep_collapsed] Dependent Word: [States/NNPS]

This information provides the foundation to determine the type of question.