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:
El Partido de los Trabajadores (PT), que se opone a la candidatura del ex presidente, apeló ante la justicia con el argumento de que Collor no vive en la ciudad que aspira a gobernar.
Postion	Tokenization
1	El
2	Partido
3	de
4	los
5	Trabajadores
6	(
7	PT
8	)
9	,
10	que
11	se
12	opone
13	a
14	la
15	candidatura
16	del
17	ex
18	presidente
19	,
20	apeló
21	ante
22	la
23	justicia
24	con
25	el
26	argumento
27	de
28	que
29	Collor
30	no
31	vive
32	en
33	la
34	ciudad
35	que
36	aspira
37	a
38	gobernar
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Partido	PROPN	20	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	Trabajadores	PROPN	2	flat
6	(	PUNCT	7	punct
7	PT	PROPN	2	flat
8	)	PUNCT	7	punct
9	,	PUNCT	12	punct
10	que	PRON	12	nsubj
11	se	PRON	12	expl:pv
12	opone	VERB	2	acl
13	a	ADP	15	case
14	la	DET	15	det
15	candidatura	NOUN	12	obj
16	del	ADP	18	case
17	ex	ADJ	18	amod
18	presidente	NOUN	15	nmod
19	,	PUNCT	12	punct
20	apeló	VERB	0	root
21	ante	ADP	23	case
22	la	DET	23	det
23	justicia	NOUN	20	obl
24	con	ADP	26	case
25	el	DET	26	det
26	argumento	NOUN	20	obl
27	de	ADP	31	mark
28	que	SCONJ	31	mark
29	Collor	PROPN	31	nsubj
30	no	ADV	31	advmod
31	vive	VERB	26	acl
32	en	ADP	34	case
33	la	DET	34	det
34	ciudad	NOUN	31	obl
35	que	PRON	36	iobj
36	aspira	VERB	34	acl
37	a	ADP	38	mark
38	gobernar	VERB	36	xcomp
39	.	PUNCT	20	punct