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:
"Mi favorito es Zülle porque tiene un equipo muy fuerte, sobre todo en la montaña", afirmaba Armstrong, que hoy tendrá el honor de partir el último y con el jersey amarillo como vencedor de 1999.
Postion	Tokenization
1	"
2	Mi
3	favorito
4	es
5	Zülle
6	porque
7	tiene
8	un
9	equipo
10	muy
11	fuerte
12	,
13	sobre
14	todo
15	en
16	la
17	montaña
18	"
19	,
20	afirmaba
21	Armstrong
22	,
23	que
24	hoy
25	tendrá
26	el
27	honor
28	de
29	partir
30	el
31	último
32	y
33	con
34	el
35	jersey
36	amarillo
37	como
38	vencedor
39	de
40	1999
41	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Mi	DET	3	det
3	favorito	ADJ	20	ccomp
4	es	AUX	3	cop
5	Zülle	PROPN	3	nsubj
6	porque	SCONJ	7	mark
7	tiene	VERB	3	advcl
8	un	DET	9	det
9	equipo	NOUN	7	obj
10	muy	ADV	11	advmod
11	fuerte	ADJ	9	amod
12	,	PUNCT	13	punct
13	sobre	ADP	11	advmod
14	todo	PRON	13	fixed
15	en	ADP	13	case
16	la	DET	17	det
17	montaña	NOUN	13	nmod
18	"	PUNCT	3	punct
19	,	PUNCT	3	punct
20	afirmaba	VERB	0	root
21	Armstrong	PROPN	20	nsubj
22	,	PUNCT	25	punct
23	que	PRON	25	nsubj
24	hoy	ADV	25	advmod
25	tendrá	VERB	21	acl
26	el	DET	27	det
27	honor	NOUN	25	obj
28	de	ADP	29	mark
29	partir	VERB	27	acl
30	el	DET	31	det
31	último	ADJ	29	obl
32	y	CCONJ	35	cc
33	con	ADP	35	case
34	el	DET	35	det
35	jersey	NOUN	31	conj
36	amarillo	ADJ	35	amod
37	como	SCONJ	38	mark
38	vencedor	NOUN	35	nmod
39	de	ADP	40	case
40	1999	NOUN	38	nmod
41	.	PUNCT	20	punct