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:
Si mañana Coulthard no sufre más incidencias estará en una situación de ventaja sobre el resto de los pilotos junto con el alemán Heinz-Harald Frentzen (Jordan EJ10 Mugen Honda) y el italiano Giancarlo Fisichella (Benetton B200 Playlife), que han sido los que menos han rodado, siete y nueve vueltas respectivamente.
Postion	Tokenization
1	Si
2	mañana
3	Coulthard
4	no
5	sufre
6	más
7	incidencias
8	estará
9	en
10	una
11	situación
12	de
13	ventaja
14	sobre
15	el
16	resto
17	de
18	los
19	pilotos
20	junto
21	con
22	el
23	alemán
24	Heinz-Harald
25	Frentzen
26	(
27	Jordan
28	EJ10
29	Mugen
30	Honda
31	)
32	y
33	el
34	italiano
35	Giancarlo
36	Fisichella
37	(
38	Benetton
39	B200
40	Playlife
41	)
42	,
43	que
44	han
45	sido
46	los
47	que
48	menos
49	han
50	rodado
51	,
52	siete
53	y
54	nueve
55	vueltas
56	respectivamente
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	5	mark
2	mañana	ADV	5	advmod
3	Coulthard	PROPN	5	nsubj
4	no	ADV	5	advmod
5	sufre	VERB	11	advcl
6	más	ADV	7	advmod
7	incidencias	NOUN	5	obj
8	estará	AUX	11	cop
9	en	ADP	11	case
10	una	DET	11	det
11	situación	NOUN	0	root
12	de	ADP	13	case
13	ventaja	NOUN	11	nmod
14	sobre	ADP	19	case
15	el	DET	16	det
16	resto	NOUN	19	nmod
17	de	ADP	16	case
18	los	DET	16	det
19	pilotos	NOUN	13	nmod
20	junto	ADJ	23	case
21	con	ADP	20	fixed
22	el	DET	23	det
23	alemán	NOUN	11	obl
24	Heinz-Harald	PROPN	23	appos
25	Frentzen	PROPN	24	flat
26	(	PUNCT	27	punct
27	Jordan	PROPN	23	appos
28	EJ10	PROPN	27	flat
29	Mugen	PROPN	27	flat
30	Honda	PROPN	27	flat
31	)	PUNCT	27	punct
32	y	CCONJ	34	cc
33	el	DET	34	det
34	italiano	NOUN	23	conj
35	Giancarlo	PROPN	34	appos
36	Fisichella	PROPN	35	flat
37	(	PUNCT	38	punct
38	Benetton	PROPN	34	appos
39	B200	PROPN	38	flat
40	Playlife	PROPN	38	flat
41	)	PUNCT	38	punct
42	,	PUNCT	50	punct
43	que	PRON	50	nsubj
44	han	AUX	50	aux
45	sido	AUX	50	cop
46	los	DET	50	det
47	que	PRON	50	nsubj
48	menos	ADV	50	advmod
49	han	AUX	50	aux
50	rodado	VERB	23	acl
51	,	PUNCT	52	punct
52	siete	NUM	50	obj
53	y	CCONJ	55	cc
54	nueve	NUM	55	nummod
55	vueltas	NOUN	52	conj
56	respectivamente	ADV	52	advmod
57	.	PUNCT	11	punct