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 será el segundo piloto, pero en esta temporada no se le van a perdonar más errores y ya le han buscado sustituto en la persona del francés Olivier Panis, piloto de pruebas, quién ha conseguido durante las pruebas invernales mejores tiempos que Coulthard en varias ocasiones.
Postion	Tokenization
1	El
2	británico
3	David
4	Coulthard
5	será
6	el
7	segundo
8	piloto
9	,
10	pero
11	en
12	esta
13	temporada
14	no
15	se
16	le
17	van
18	a
19	perdonar
20	más
21	errores
22	y
23	ya
24	le
25	han
26	buscado
27	sustituto
28	en
29	la
30	persona
31	del
32	francés
33	Olivier
34	Panis
35	,
36	piloto
37	de
38	pruebas
39	,
40	quién
41	ha
42	conseguido
43	durante
44	las
45	pruebas
46	invernales
47	mejores
48	tiempos
49	que
50	Coulthard
51	en
52	varias
53	ocasiones
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	británico	NOUN	8	nsubj
3	David	PROPN	2	appos
4	Coulthard	PROPN	3	flat
5	será	AUX	8	cop
6	el	DET	8	det
7	segundo	ADJ	8	amod
8	piloto	NOUN	0	root
9	,	PUNCT	19	punct
10	pero	CCONJ	19	cc
11	en	ADP	13	case
12	esta	DET	13	det
13	temporada	NOUN	19	obl
14	no	ADV	19	advmod
15	se	PRON	19	expl:pass
16	le	PRON	19	obj
17	van	AUX	19	aux
18	a	ADP	19	mark
19	perdonar	VERB	8	conj
20	más	ADV	21	advmod
21	errores	NOUN	19	nsubj
22	y	CCONJ	26	cc
23	ya	ADV	26	advmod
24	le	PRON	26	obj
25	han	AUX	26	aux
26	buscado	VERB	19	conj
27	sustituto	NOUN	26	obj
28	en	ADP	30	case
29	la	DET	30	det
30	persona	NOUN	27	nmod
31	del	ADP	32	case
32	francés	NOUN	30	nmod
33	Olivier	PROPN	32	appos
34	Panis	PROPN	33	flat
35	,	PUNCT	36	punct
36	piloto	NOUN	32	appos
37	de	ADP	38	case
38	pruebas	NOUN	36	nmod
39	,	PUNCT	42	punct
40	quién	PRON	42	nsubj
41	ha	AUX	42	aux
42	conseguido	VERB	32	acl
43	durante	ADP	45	case
44	las	DET	45	det
45	pruebas	NOUN	42	obl
46	invernales	ADJ	45	amod
47	mejores	ADJ	48	amod
48	tiempos	NOUN	42	obj
49	que	SCONJ	50	mark
50	Coulthard	PROPN	48	nmod
51	en	ADP	53	case
52	varias	DET	53	det
53	ocasiones	NOUN	42	obl
54	.	PUNCT	8	punct