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:
Temo a Pantani, Zülle y Olano, aunque creo que Virenque y Jalabert también pueden ganar el Tour, afirmó el ganador de 1997, para mayor confusión en este inicio de carrera.
Postion	Tokenization
1	Temo
2	a
3	Pantani
4	,
5	Zülle
6	y
7	Olano
8	,
9	aunque
10	creo
11	que
12	Virenque
13	y
14	Jalabert
15	también
16	pueden
17	ganar
18	el
19	Tour
20	,
21	afirmó
22	el
23	ganador
24	de
25	1997
26	,
27	para
28	mayor
29	confusión
30	en
31	este
32	inicio
33	de
34	carrera
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Temo	VERB	21	ccomp
2	a	ADP	3	case
3	Pantani	PROPN	1	obj
4	,	PUNCT	5	punct
5	Zülle	PROPN	3	conj
6	y	CCONJ	7	cc
7	Olano	PROPN	3	conj
8	,	PUNCT	10	punct
9	aunque	SCONJ	10	mark
10	creo	VERB	1	advcl
11	que	SCONJ	17	mark
12	Virenque	PROPN	17	nsubj
13	y	CCONJ	14	cc
14	Jalabert	PROPN	12	conj
15	también	ADV	17	advmod
16	pueden	AUX	17	aux
17	ganar	VERB	10	xcomp
18	el	DET	19	det
19	Tour	PROPN	17	obj
20	,	PUNCT	21	punct
21	afirmó	VERB	0	root
22	el	DET	23	det
23	ganador	NOUN	21	nsubj
24	de	ADP	25	case
25	1997	NOUN	23	nmod
26	,	PUNCT	29	punct
27	para	ADP	29	case
28	mayor	ADJ	29	amod
29	confusión	NOUN	21	obl
30	en	ADP	32	case
31	este	DET	32	det
32	inicio	NOUN	29	nmod
33	de	ADP	34	case
34	carrera	NOUN	32	nmod
35	.	PUNCT	21	punct