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:
"Otra de las cuestiones que analicé tiene que ver con el Mundial del 2002: si bien estoy muy bien en lo físico, en lo técnico y en lo anímico, considero que para entonces habrán pasado dos años y ya no seré el mismo", acotó el veterano jugador de 38 años.
Postion	Tokenization
1	"
2	Otra
3	de
4	las
5	cuestiones
6	que
7	analicé
8	tiene
9	que
10	ver
11	con
12	el
13	Mundial
14	del
15	2002
16	:
17	si
18	bien
19	estoy
20	muy
21	bien
22	en
23	lo
24	físico
25	,
26	en
27	lo
28	técnico
29	y
30	en
31	lo
32	anímico
33	,
34	considero
35	que
36	para
37	entonces
38	habrán
39	pasado
40	dos
41	años
42	y
43	ya
44	no
45	seré
46	el
47	mismo
48	"
49	,
50	acotó
51	el
52	veterano
53	jugador
54	de
55	38
56	años
57	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Otra	PRON	10	nsubj
3	de	ADP	5	case
4	las	DET	5	det
5	cuestiones	NOUN	2	nmod
6	que	PRON	7	obj
7	analicé	VERB	2	acl
8	tiene	VERB	50	ccomp
9	que	SCONJ	10	cc
10	ver	VERB	8	conj
11	con	ADP	13	case
12	el	DET	13	det
13	Mundial	PROPN	10	obl
14	del	ADP	15	case
15	2002	NOUN	13	nmod
16	:	PUNCT	34	punct
17	si	SCONJ	21	mark
18	bien	ADV	17	fixed
19	estoy	AUX	21	cop
20	muy	ADV	21	advmod
21	bien	ADV	34	advcl
22	en	ADP	24	case
23	lo	PRON	24	det
24	físico	ADJ	21	advmod
25	,	PUNCT	28	punct
26	en	ADP	28	case
27	lo	PRON	28	det
28	técnico	ADJ	24	conj
29	y	CCONJ	32	cc
30	en	ADP	32	case
31	lo	PRON	32	det
32	anímico	ADJ	24	conj
33	,	PUNCT	21	punct
34	considero	VERB	10	advcl
35	que	SCONJ	39	mark
36	para	ADP	37	case
37	entonces	ADV	39	advmod
38	habrán	AUX	39	aux
39	pasado	VERB	34	ccomp
40	dos	NUM	41	nummod
41	años	NOUN	39	nsubj
42	y	CCONJ	47	cc
43	ya	ADV	47	advmod
44	no	ADV	47	advmod
45	seré	AUX	47	cop
46	el	DET	47	det
47	mismo	ADJ	39	conj
48	"	PUNCT	8	punct
49	,	PUNCT	8	punct
50	acotó	VERB	0	root
51	el	DET	53	det
52	veterano	ADJ	53	amod
53	jugador	NOUN	50	nsubj
54	de	ADP	56	case
55	38	NUM	56	nummod
56	años	NOUN	53	nmod
57	.	PUNCT	50	punct