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 Tribunal Regional Electoral (TRE) de Sao Paulo anuló la inscripción del ex presidente brasileño Fernando Collor de Mello como residente en esta ciudad, lo que le impide de momento presentarse como candidato a la Alcaldía de Sao Paulo en las próximas elecciones, informa hoy la prensa.
Postion	Tokenization
1	El
2	Tribunal
3	Regional
4	Electoral
5	(
6	TRE
7	)
8	de
9	Sao
10	Paulo
11	anuló
12	la
13	inscripción
14	del
15	ex
16	presidente
17	brasileño
18	Fernando
19	Collor
20	de
21	Mello
22	como
23	residente
24	en
25	esta
26	ciudad
27	,
28	lo
29	que
30	le
31	impide
32	de
33	momento
34	presentarse
35	presentar
36	se
37	como
38	candidato
39	a
40	la
41	Alcaldía
42	de
43	Sao
44	Paulo
45	en
46	las
47	próximas
48	elecciones
49	,
50	informa
51	hoy
52	la
53	prensa
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Tribunal	PROPN	11	nsubj
3	Regional	PROPN	2	flat
4	Electoral	PROPN	2	flat
5	(	PUNCT	6	punct
6	TRE	PROPN	2	flat
7	)	PUNCT	6	punct
8	de	ADP	9	case
9	Sao	PROPN	2	nmod
10	Paulo	PROPN	9	flat
11	anuló	VERB	49	ccomp
12	la	DET	13	det
13	inscripción	NOUN	11	obj
14	del	ADP	16	case
15	ex	ADJ	16	amod
16	presidente	NOUN	13	nmod
17	brasileño	ADJ	16	amod
18	Fernando	PROPN	16	appos
19	Collor	PROPN	18	flat
20	de	ADP	21	case
21	Mello	PROPN	18	flat
22	como	SCONJ	23	mark
23	residente	NOUN	13	nmod
24	en	ADP	26	case
25	esta	DET	26	det
26	ciudad	NOUN	23	nmod
27	,	PUNCT	31	punct
28	lo	PRON	31	det
29	que	PRON	31	nsubj
30	le	PRON	31	iobj
31	impide	VERB	11	advcl
32	de	ADP	31	advmod
33	momento	NOUN	32	fixed
34	presentarse	_	None	_
35	presentar	VERB	31	xcomp
36	se	PRON	34	obj
37	como	SCONJ	37	mark
38	candidato	NOUN	34	obj
39	a	ADP	40	case
40	la	DET	40	det
41	Alcaldía	PROPN	34	obl
42	de	ADP	42	case
43	Sao	PROPN	40	nmod
44	Paulo	PROPN	42	flat
45	en	ADP	47	case
46	las	DET	47	det
47	próximas	ADJ	47	amod
48	elecciones	NOUN	34	obl
49	,	PUNCT	11	punct
50	informa	VERB	0	root
51	hoy	ADV	49	advmod
52	la	DET	52	det
53	prensa	NOUN	49	nsubj
54	.	PUNCT	49	punct