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:
Afirmó que el mayor rival que podría tener en su empeño de colgarse al cuello el metal dorado es el ruso Viahceslav Voronin, que recientemente logró la mejor marca del año en la disciplina con un registro de 2.40 metros.
Postion	Tokenization
1	Afirmó
2	que
3	el
4	mayor
5	rival
6	que
7	podría
8	tener
9	en
10	su
11	empeño
12	de
13	colgarse
14	colgar
15	se
16	al
17	cuello
18	el
19	metal
20	dorado
21	es
22	el
23	ruso
24	Viahceslav
25	Voronin
26	,
27	que
28	recientemente
29	logró
30	la
31	mejor
32	marca
33	del
34	año
35	en
36	la
37	disciplina
38	con
39	un
40	registro
41	de
42	2.40
43	metros
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Afirmó	VERB	0	root
2	que	SCONJ	22	mark
3	el	DET	5	det
4	mayor	ADJ	5	amod
5	rival	NOUN	22	nsubj
6	que	PRON	8	nsubj
7	podría	AUX	8	aux
8	tener	VERB	5	acl
9	en	ADP	11	case
10	su	DET	11	det
11	empeño	NOUN	8	obj
12	de	ADP	13	mark
13	colgarse	_	None	_
14	colgar	VERB	11	acl
15	se	PRON	13	iobj
16	al	ADP	16	case
17	cuello	NOUN	13	obl
18	el	DET	18	det
19	metal	NOUN	13	obj
20	dorado	ADJ	18	amod
21	es	AUX	22	cop
22	el	DET	22	det
23	ruso	NOUN	1	ccomp
24	Viahceslav	PROPN	22	appos
25	Voronin	PROPN	23	flat
26	,	PUNCT	28	punct
27	que	PRON	28	nsubj
28	recientemente	ADV	28	advmod
29	logró	VERB	22	acl
30	la	DET	31	det
31	mejor	ADJ	31	amod
32	marca	NOUN	28	obj
33	del	ADP	33	case
34	año	NOUN	31	nmod
35	en	ADP	36	case
36	la	DET	36	det
37	disciplina	NOUN	28	obl
38	con	ADP	39	case
39	un	DET	39	det
40	registro	NOUN	28	obl
41	de	ADP	42	case
42	2.40	NUM	42	nummod
43	metros	NOUN	39	nmod
44	.	PUNCT	1	punct