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:
Lance Armstrong, Alex Zülle, Jan Ullrich y Abraham Olano parten como los máximos candidatos para ganarse la prenda, en un día donde escaladores como Marco Pantani y Fernando Escartín deberán sufrir como valientes para no empezar a regalar un tiempo fabuloso a las primeras de cambio.
Postion	Tokenization
1	Lance
2	Armstrong
3	,
4	Alex
5	Zülle
6	,
7	Jan
8	Ullrich
9	y
10	Abraham
11	Olano
12	parten
13	como
14	los
15	máximos
16	candidatos
17	para
18	ganarse
19	ganar
20	se
21	la
22	prenda
23	,
24	en
25	un
26	día
27	donde
28	escaladores
29	como
30	Marco
31	Pantani
32	y
33	Fernando
34	Escartín
35	deberán
36	sufrir
37	como
38	valientes
39	para
40	no
41	empezar
42	a
43	regalar
44	un
45	tiempo
46	fabuloso
47	a
48	las
49	primeras
50	de
51	cambio
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Lance	PROPN	12	nsubj
2	Armstrong	PROPN	1	flat
3	,	PUNCT	4	punct
4	Alex	PROPN	1	conj
5	Zülle	PROPN	4	flat
6	,	PUNCT	7	punct
7	Jan	PROPN	1	conj
8	Ullrich	PROPN	7	flat
9	y	CCONJ	10	cc
10	Abraham	PROPN	1	conj
11	Olano	PROPN	10	flat
12	parten	VERB	0	root
13	como	SCONJ	16	mark
14	los	DET	16	det
15	máximos	ADJ	16	amod
16	candidatos	NOUN	12	obj
17	para	ADP	18	mark
18	ganarse	_	None	_
19	ganar	VERB	16	acl
20	se	PRON	18	iobj
21	la	DET	21	det
22	prenda	NOUN	18	obj
23	,	PUNCT	25	punct
24	en	ADP	25	case
25	un	DET	25	det
26	día	NOUN	18	obl
27	donde	PRON	35	obl
28	escaladores	NOUN	35	nsubj
29	como	SCONJ	29	mark
30	Marco	PROPN	27	nmod
31	Pantani	PROPN	29	flat
32	y	CCONJ	32	cc
33	Fernando	PROPN	29	conj
34	Escartín	PROPN	32	flat
35	deberán	AUX	35	aux
36	sufrir	VERB	25	acl
37	como	SCONJ	37	mark
38	valientes	ADJ	35	advcl
39	para	ADP	40	mark
40	no	ADV	40	advmod
41	empezar	VERB	35	advcl
42	a	ADP	42	mark
43	regalar	VERB	40	xcomp
44	un	DET	44	det
45	tiempo	NOUN	42	obj
46	fabuloso	ADJ	44	amod
47	a	ADP	40	advmod
48	las	DET	46	fixed
49	primeras	NOUN	46	fixed
50	de	ADP	46	fixed
51	cambio	NOUN	46	fixed
52	.	PUNCT	12	punct