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:
El británico David Coulthard (McLaren MP4/15 Mercedes) ha dominado una jornada anodina de entrenamientos libres del Gran Premio de Francia, en la que tan solo ha rodado nueve vueltas, que le han sido suficientes para dejar al alemán Michael Schumacher (Ferrari F1-2000) a dos décimas de segundo.
Postion	Tokenization
1	El
2	británico
3	David
4	Coulthard
5	(
6	McLaren
7	MP4/15
8	Mercedes
9	)
10	ha
11	dominado
12	una
13	jornada
14	anodina
15	de
16	entrenamientos
17	libres
18	del
19	Gran
20	Premio
21	de
22	Francia
23	,
24	en
25	la
26	que
27	tan
28	solo
29	ha
30	rodado
31	nueve
32	vueltas
33	,
34	que
35	le
36	han
37	sido
38	suficientes
39	para
40	dejar
41	al
42	alemán
43	Michael
44	Schumacher
45	(
46	Ferrari
47	F1-2000
48	)
49	a
50	dos
51	décimas
52	de
53	segundo
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	británico	ADJ	3	amod
3	David	PROPN	11	nsubj
4	Coulthard	PROPN	3	flat
5	(	PUNCT	6	punct
6	McLaren	PROPN	3	flat
7	MP4/15	PROPN	6	flat
8	Mercedes	PROPN	6	flat
9	)	PUNCT	6	punct
10	ha	AUX	11	aux
11	dominado	VERB	0	root
12	una	DET	13	det
13	jornada	NOUN	11	obj
14	anodina	ADJ	13	amod
15	de	ADP	16	case
16	entrenamientos	NOUN	13	nmod
17	libres	ADJ	16	amod
18	del	ADP	19	case
19	Gran	ADJ	13	nmod
20	Premio	PROPN	19	flat
21	de	ADP	22	case
22	Francia	PROPN	19	flat
23	,	PUNCT	30	punct
24	en	ADP	26	case
25	la	DET	26	det
26	que	PRON	30	obl
27	tan	NOUN	30	advmod
28	solo	NOUN	27	fixed
29	ha	AUX	30	aux
30	rodado	VERB	13	acl
31	nueve	NUM	32	nummod
32	vueltas	NOUN	30	obj
33	,	PUNCT	38	punct
34	que	PRON	38	nsubj
35	le	PRON	38	obj
36	han	AUX	38	aux
37	sido	AUX	38	cop
38	suficientes	ADJ	32	acl
39	para	ADP	40	mark
40	dejar	VERB	38	acl
41	al	ADP	43	case
42	alemán	ADJ	43	amod
43	Michael	PROPN	40	obj
44	Schumacher	PROPN	43	flat
45	(	PUNCT	46	punct
46	Ferrari	PROPN	43	flat
47	F1-2000	PROPN	46	flat
48	)	PUNCT	46	punct
49	a	ADP	51	case
50	dos	NUM	51	nummod
51	décimas	NOUN	40	obl
52	de	ADP	53	case
53	segundo	NOUN	51	nmod
54	.	PUNCT	11	punct