As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
Yes, it is true that some people don't like the way they think he will vote on the Supreme Court.
Postion	Tokenization
1	Yes
2	,
3	it
4	is
5	true
6	that
7	some
8	people
9	don't
10	do
11	n't
12	like
13	the
14	way
15	they
16	think
17	he
18	will
19	vote
20	on
21	the
22	Supreme
23	Court
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Yes	INTJ	5	discourse
2	,	PUNCT	5	punct
3	it	PRON	5	nsubj
4	is	AUX	5	cop
5	true	ADJ	0	root
6	that	SCONJ	11	mark
7	some	DET	8	det
8	people	NOUN	11	nsubj
9	don't	_	None	_
10	do	AUX	11	aux
11	n't	PART	11	advmod
12	like	VERB	5	ccomp
13	the	DET	13	det
14	way	NOUN	11	obj
15	they	PRON	15	nsubj
16	think	VERB	13	acl:relcl
17	he	PRON	18	nsubj
18	will	AUX	18	aux
19	vote	VERB	15	ccomp
20	on	ADP	22	case
21	the	DET	22	det
22	Supreme	PROPN	22	compound
23	Court	PROPN	18	obl
24	.	PUNCT	5	punct