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:
But other people do like the way they think he will vote, and the ones who favor him seem to outnumber the ones who oppose him.
Postion	Tokenization
1	But
2	other
3	people
4	do
5	like
6	the
7	way
8	they
9	think
10	he
11	will
12	vote
13	,
14	and
15	the
16	ones
17	who
18	favor
19	him
20	seem
21	to
22	outnumber
23	the
24	ones
25	who
26	oppose
27	him
28	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	20	cc
2	other	ADJ	3	amod
3	people	NOUN	5	nsubj
4	do	AUX	5	aux
5	like	VERB	0	root
6	the	DET	7	det
7	way	NOUN	5	obj
8	they	PRON	9	nsubj
9	think	VERB	7	acl:relcl
10	he	PRON	12	nsubj
11	will	AUX	12	aux
12	vote	VERB	9	ccomp
13	,	PUNCT	20	punct
14	and	CCONJ	20	cc
15	the	DET	16	det
16	ones	NOUN	20	nsubj
17	who	PRON	18	nsubj
18	favor	VERB	16	acl:relcl
19	him	PRON	18	obj
20	seem	VERB	5	conj
21	to	PART	22	mark
22	outnumber	VERB	20	xcomp
23	the	DET	24	det
24	ones	NOUN	22	obj
25	who	PRON	26	nsubj
26	oppose	VERB	24	acl:relcl
27	him	PRON	26	obj
28	.	PUNCT	5	punct