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:
Tras Coulthard se ha situado el líder del mundial el alemán Michael Schumacher (Ferrari F1-2000) que ha rodado bastante, veinticinco vueltas, para poner el coche a punto para la carrera del domingo.
Postion	Tokenization
1	Tras
2	Coulthard
3	se
4	ha
5	situado
6	el
7	líder
8	del
9	mundial
10	el
11	alemán
12	Michael
13	Schumacher
14	(
15	Ferrari
16	F1-2000
17	)
18	que
19	ha
20	rodado
21	bastante
22	,
23	veinticinco
24	vueltas
25	,
26	para
27	poner
28	el
29	coche
30	a
31	punto
32	para
33	la
34	carrera
35	del
36	domingo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	2	case
2	Coulthard	PROPN	5	obl
3	se	PRON	5	expl:pv
4	ha	AUX	5	aux
5	situado	VERB	0	root
6	el	DET	7	det
7	líder	NOUN	5	nsubj
8	del	ADP	9	case
9	mundial	NOUN	7	nmod
10	el	DET	11	det
11	alemán	NOUN	7	appos
12	Michael	PROPN	11	appos
13	Schumacher	PROPN	12	flat
14	(	PUNCT	15	punct
15	Ferrari	PROPN	11	appos
16	F1-2000	PROPN	15	flat
17	)	PUNCT	15	punct
18	que	PRON	20	nsubj
19	ha	AUX	20	aux
20	rodado	VERB	7	acl
21	bastante	ADV	20	advmod
22	,	PUNCT	24	punct
23	veinticinco	NUM	24	nummod
24	vueltas	NOUN	21	obl
25	,	PUNCT	24	punct
26	para	ADP	27	mark
27	poner	VERB	20	advcl
28	el	DET	29	det
29	coche	NOUN	27	obj
30	a	ADP	27	advmod
31	punto	NOUN	30	fixed
32	para	ADP	34	case
33	la	DET	34	det
34	carrera	NOUN	27	obl
35	del	ADP	36	case
36	domingo	NOUN	34	nmod
37	.	PUNCT	5	punct