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:
Ferrari ha hecho todas las pruebas del nuevo modelo F1-2000 en sus circuitos de Fiorano y Mugello y aunque los tiempos logrados han sido mejores que los realizados el pasado año, hasta que no se produzca el primer enfrentamiento directo con sus rivales, no se sabrá cual es el valor real del coche.
Postion	Tokenization
1	Ferrari
2	ha
3	hecho
4	todas
5	las
6	pruebas
7	del
8	nuevo
9	modelo
10	F1-2000
11	en
12	sus
13	circuitos
14	de
15	Fiorano
16	y
17	Mugello
18	y
19	aunque
20	los
21	tiempos
22	logrados
23	han
24	sido
25	mejores
26	que
27	los
28	realizados
29	el
30	pasado
31	año
32	,
33	hasta
34	que
35	no
36	se
37	produzca
38	el
39	primer
40	enfrentamiento
41	directo
42	con
43	sus
44	rivales
45	,
46	no
47	se
48	sabrá
49	cual
50	es
51	el
52	valor
53	real
54	del
55	coche
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Ferrari	PROPN	3	nsubj
2	ha	AUX	3	aux
3	hecho	VERB	0	root
4	todas	DET	5	det
5	las	DET	6	det
6	pruebas	NOUN	3	obj
7	del	ADP	9	case
8	nuevo	ADJ	9	amod
9	modelo	NOUN	6	nmod
10	F1-2000	PROPN	9	appos
11	en	ADP	13	case
12	sus	DET	13	det
13	circuitos	NOUN	3	obl
14	de	ADP	15	case
15	Fiorano	PROPN	13	nmod
16	y	CCONJ	17	cc
17	Mugello	PROPN	15	conj
18	y	CCONJ	48	cc
19	aunque	SCONJ	25	mark
20	los	DET	21	det
21	tiempos	NOUN	25	nsubj
22	logrados	ADJ	21	amod
23	han	AUX	25	aux
24	sido	AUX	25	cop
25	mejores	ADJ	48	advcl
26	que	SCONJ	28	mark
27	los	DET	28	det
28	realizados	ADJ	25	advmod
29	el	DET	31	det
30	pasado	ADJ	31	amod
31	año	NOUN	28	obl
32	,	PUNCT	25	punct
33	hasta	ADP	37	mark
34	que	SCONJ	37	mark
35	no	ADV	37	advmod
36	se	PRON	37	expl:pv
37	produzca	VERB	48	advcl
38	el	DET	40	det
39	primer	ADJ	40	amod
40	enfrentamiento	NOUN	37	nsubj
41	directo	ADJ	40	amod
42	con	ADP	44	case
43	sus	DET	44	det
44	rivales	NOUN	40	nmod
45	,	PUNCT	37	punct
46	no	ADV	48	advmod
47	se	PRON	48	expl:pass
48	sabrá	VERB	3	conj
49	cual	PRON	52	nsubj
50	es	AUX	52	cop
51	el	DET	52	det
52	valor	NOUN	48	csubj
53	real	ADJ	52	amod
54	del	ADP	55	case
55	coche	NOUN	52	nmod
56	.	PUNCT	3	punct