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:
Torre dio como una posible solución al problema del bateador designado el de usar jugadores como Bernie Williams, Paul O`Neill y Tino Martínez en vez de darle días de descanso.
Postion	Tokenization
1	Torre
2	dio
3	como
4	una
5	posible
6	solución
7	al
8	problema
9	del
10	bateador
11	designado
12	el
13	de
14	usar
15	jugadores
16	como
17	Bernie
18	Williams
19	,
20	Paul
21	O`Neill
22	y
23	Tino
24	Martínez
25	en
26	vez
27	de
28	darle
29	dar
30	le
31	días
32	de
33	descanso
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Torre	PROPN	2	nsubj
2	dio	VERB	0	root
3	como	SCONJ	6	mark
4	una	DET	6	det
5	posible	ADJ	6	amod
6	solución	NOUN	2	obl
7	al	ADP	8	case
8	problema	NOUN	6	nmod
9	del	ADP	10	case
10	bateador	NOUN	8	nmod
11	designado	ADJ	10	amod
12	el	DET	2	det
13	de	ADP	12	mark
14	usar	VERB	12	xcomp
15	jugadores	NOUN	14	obj
16	como	SCONJ	17	mark
17	Bernie	PROPN	15	nmod
18	Williams	PROPN	17	flat
19	,	PUNCT	20	punct
20	Paul	PROPN	17	conj
21	O`Neill	PROPN	20	flat
22	y	CCONJ	23	cc
23	Tino	PROPN	17	conj
24	Martínez	PROPN	23	flat
25	en	ADP	28	cc
26	vez	NOUN	25	fixed
27	de	ADP	25	fixed
28	darle	_	None	_
29	dar	VERB	14	conj
30	le	PRON	28	obj
31	días	NOUN	28	obj
32	de	ADP	32	case
33	descanso	NOUN	30	nmod
34	.	PUNCT	2	punct