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 mejor de la jornada, en la que las ocho escuderías comenzaron a preparar la próxima prueba del Mundial, el Gran Premio de Europa, que se disputará dentro de dos semanas en Nurburgring (Alemania), ha sido Hakkinen (McLaren/Mercedes), actual campeón del mundo, al hacer un mejor registro de 1:23.97.
Postion	Tokenization
1	El
2	mejor
3	de
4	la
5	jornada
6	,
7	en
8	la
9	que
10	las
11	ocho
12	escuderías
13	comenzaron
14	a
15	preparar
16	la
17	próxima
18	prueba
19	del
20	Mundial
21	,
22	el
23	Gran
24	Premio
25	de
26	Europa
27	,
28	que
29	se
30	disputará
31	dentro
32	de
33	dos
34	semanas
35	en
36	Nurburgring
37	(
38	Alemania
39	)
40	,
41	ha
42	sido
43	Hakkinen
44	(
45	McLaren/Mercedes
46	)
47	,
48	actual
49	campeón
50	del
51	mundo
52	,
53	al
54	hacer
55	un
56	mejor
57	registro
58	de
59	1:23.97
60	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	mejor	ADJ	43	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	jornada	NOUN	2	nmod
6	,	PUNCT	13	punct
7	en	ADP	9	case
8	la	DET	9	det
9	que	PRON	13	obl
10	las	DET	12	det
11	ocho	NUM	10	nummod
12	escuderías	NOUN	13	nsubj
13	comenzaron	VERB	5	acl
14	a	ADP	15	mark
15	preparar	VERB	13	xcomp
16	la	DET	18	det
17	próxima	ADJ	18	amod
18	prueba	NOUN	15	obj
19	del	ADP	20	case
20	Mundial	PROPN	18	nmod
21	,	PUNCT	23	punct
22	el	DET	23	det
23	Gran	ADJ	18	appos
24	Premio	PROPN	23	flat
25	de	ADP	26	case
26	Europa	PROPN	23	flat
27	,	PUNCT	30	punct
28	que	PRON	30	nsubj
29	se	PRON	30	expl:pass
30	disputará	VERB	18	acl
31	dentro	ADV	30	advmod
32	de	ADP	34	case
33	dos	NUM	34	nummod
34	semanas	NOUN	31	obl
35	en	ADP	36	case
36	Nurburgring	PROPN	30	obl
37	(	PUNCT	38	punct
38	Alemania	PROPN	36	flat
39	)	PUNCT	38	punct
40	,	PUNCT	13	punct
41	ha	AUX	43	aux
42	sido	AUX	43	cop
43	Hakkinen	PROPN	0	root
44	(	PUNCT	45	punct
45	McLaren/Mercedes	PROPN	43	flat
46	)	PUNCT	45	punct
47	,	PUNCT	49	punct
48	actual	ADJ	49	amod
49	campeón	NOUN	43	appos
50	del	ADP	51	case
51	mundo	NOUN	49	nmod
52	,	PUNCT	49	punct
53	al	ADP	54	mark
54	hacer	VERB	43	advcl
55	un	DET	57	det
56	mejor	ADJ	57	amod
57	registro	NOUN	54	obj
58	de	ADP	59	case
59	1:23.97	NUM	57	nummod
60	.	PUNCT	43	punct