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:
La decisión de prolongar o frenar al PRI está en más de 58 millones de mexicanos que han sido inscritos en el padrón electoral para que puedan votar en los comicios del 2 de julio próximo.
Postion	Tokenization
1	La
2	decisión
3	de
4	prolongar
5	o
6	frenar
7	al
8	PRI
9	está
10	en
11	más
12	de
13	58
14	millones
15	de
16	mexicanos
17	que
18	han
19	sido
20	inscritos
21	en
22	el
23	padrón
24	electoral
25	para
26	que
27	puedan
28	votar
29	en
30	los
31	comicios
32	del
33	2
34	de
35	julio
36	próximo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	decisión	NOUN	9	nsubj
3	de	ADP	4	mark
4	prolongar	VERB	2	acl
5	o	CCONJ	6	cc
6	frenar	VERB	4	conj
7	al	ADP	8	case
8	PRI	PROPN	4	obj
9	está	VERB	0	root
10	en	ADP	14	case
11	más	ADV	14	advmod
12	de	ADP	11	case
13	58	NUM	11	nummod
14	millones	NOUN	9	obj
15	de	ADP	16	case
16	mexicanos	NOUN	14	nmod
17	que	PRON	20	nsubj
18	han	AUX	20	aux
19	sido	AUX	20	aux
20	inscritos	VERB	14	acl
21	en	ADP	23	case
22	el	DET	23	det
23	padrón	NOUN	20	obl
24	electoral	ADJ	23	amod
25	para	ADP	28	mark
26	que	SCONJ	28	mark
27	puedan	AUX	28	aux
28	votar	VERB	20	advcl
29	en	ADP	31	case
30	los	DET	31	det
31	comicios	NOUN	28	obl
32	del	ADP	33	case
33	2	NUM	31	nmod
34	de	ADP	35	case
35	julio	NOUN	33	compound
36	próximo	ADJ	33	amod
37	.	PUNCT	9	punct