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:
Bruno Thiry, con prioridad FIA B, intervendrá como piloto oficial Citroen Francia al volante de un Xsara Kit Car, y tratará de mejorar el segundo puesto del podio que alcanzó en el XXI Rally El Corte Inglés.
Postion	Tokenization
1	Bruno
2	Thiry
3	,
4	con
5	prioridad
6	FIA
7	B
8	,
9	intervendrá
10	como
11	piloto
12	oficial
13	Citroen
14	Francia
15	al
16	volante
17	de
18	un
19	Xsara
20	Kit
21	Car
22	,
23	y
24	tratará
25	de
26	mejorar
27	el
28	segundo
29	puesto
30	del
31	podio
32	que
33	alcanzó
34	en
35	el
36	XXI
37	Rally
38	El
39	Corte
40	Inglés
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Bruno	PROPN	9	nsubj
2	Thiry	PROPN	1	flat
3	,	PUNCT	5	punct
4	con	ADP	5	case
5	prioridad	NOUN	1	nmod
6	FIA	PROPN	5	appos
7	B	PROPN	6	flat
8	,	PUNCT	5	punct
9	intervendrá	VERB	0	root
10	como	SCONJ	11	mark
11	piloto	NOUN	9	obl
12	oficial	ADJ	11	amod
13	Citroen	PROPN	11	appos
14	Francia	PROPN	13	flat
15	al	ADP	16	case
16	volante	NOUN	9	obl
17	de	ADP	19	case
18	un	DET	19	det
19	Xsara	PROPN	16	nmod
20	Kit	PROPN	19	flat
21	Car	PROPN	19	flat
22	,	PUNCT	24	punct
23	y	CCONJ	24	cc
24	tratará	VERB	9	conj
25	de	ADP	26	mark
26	mejorar	VERB	24	xcomp
27	el	DET	29	det
28	segundo	ADJ	29	amod
29	puesto	NOUN	26	obj
30	del	ADP	31	case
31	podio	NOUN	29	nmod
32	que	PRON	33	obj
33	alcanzó	VERB	29	acl
34	en	ADP	36	case
35	el	DET	36	det
36	XXI	PROPN	33	obl
37	Rally	PROPN	36	flat
38	El	DET	39	det
39	Corte	PROPN	36	flat
40	Inglés	PROPN	36	flat
41	.	PUNCT	9	punct