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 piloto italiano Giuseppe Burlotti afrontará mañana la primera de las dos carreras del Abierto Telefónica de F-Nissan en el circuito francés de Magny Cours como líder del certamen, tras la decisión del Tribunal de la FIA de recalificarlo en las dos carreras de Barcelona.
Postion	Tokenization
1	El
2	piloto
3	italiano
4	Giuseppe
5	Burlotti
6	afrontará
7	mañana
8	la
9	primera
10	de
11	las
12	dos
13	carreras
14	del
15	Abierto
16	Telefónica
17	de
18	F-Nissan
19	en
20	el
21	circuito
22	francés
23	de
24	Magny
25	Cours
26	como
27	líder
28	del
29	certamen
30	,
31	tras
32	la
33	decisión
34	del
35	Tribunal
36	de
37	la
38	FIA
39	de
40	recalificarlo
41	recalificar
42	lo
43	en
44	las
45	dos
46	carreras
47	de
48	Barcelona
49	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	piloto	NOUN	6	nsubj
3	italiano	ADJ	2	amod
4	Giuseppe	PROPN	2	appos
5	Burlotti	PROPN	4	flat
6	afrontará	VERB	0	root
7	mañana	ADV	6	advmod
8	la	DET	9	det
9	primera	ADJ	6	obj
10	de	ADP	13	case
11	las	DET	13	det
12	dos	NUM	11	nummod
13	carreras	NOUN	9	nmod
14	del	ADP	15	case
15	Abierto	PROPN	13	nmod
16	Telefónica	PROPN	15	flat
17	de	ADP	18	case
18	F-Nissan	PROPN	15	flat
19	en	ADP	21	case
20	el	DET	21	det
21	circuito	NOUN	6	obl
22	francés	ADJ	21	amod
23	de	ADP	24	case
24	Magny	PROPN	21	nmod
25	Cours	PROPN	24	flat
26	como	SCONJ	27	mark
27	líder	NOUN	6	obl
28	del	ADP	29	case
29	certamen	NOUN	27	nmod
30	,	PUNCT	33	punct
31	tras	ADP	33	case
32	la	DET	33	det
33	decisión	NOUN	6	obl
34	del	ADP	35	case
35	Tribunal	PROPN	33	nmod
36	de	ADP	38	case
37	la	DET	38	det
38	FIA	PROPN	35	flat
39	de	ADP	40	mark
40	recalificarlo	_	None	_
41	recalificar	VERB	33	acl
42	lo	PRON	40	obj
43	en	ADP	45	case
44	las	DET	45	det
45	dos	NUM	43	nummod
46	carreras	NOUN	40	obl
47	de	ADP	47	case
48	Barcelona	PROPN	45	nmod
49	.	PUNCT	6	punct