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 austriaco Alex Wurz y el italiano Giancarlo Fisichella, de la escudería británica Benetton - adquirida recientemente por el fabricante francés Renault -, son los encargados de evolucionar en Jerez el monoplaza con el que el último de ellos conquistó una segunda plaza en Brasil y un quinto lugar en Australia.
Postion	Tokenization
1	El
2	austriaco
3	Alex
4	Wurz
5	y
6	el
7	italiano
8	Giancarlo
9	Fisichella
10	,
11	de
12	la
13	escudería
14	británica
15	Benetton
16	-
17	adquirida
18	recientemente
19	por
20	el
21	fabricante
22	francés
23	Renault
24	-
25	,
26	son
27	los
28	encargados
29	de
30	evolucionar
31	en
32	Jerez
33	el
34	monoplaza
35	con
36	el
37	que
38	el
39	último
40	de
41	ellos
42	conquistó
43	una
44	segunda
45	plaza
46	en
47	Brasil
48	y
49	un
50	quinto
51	lugar
52	en
53	Australia
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	austriaco	NOUN	28	nsubj
3	Alex	PROPN	2	appos
4	Wurz	PROPN	3	flat
5	y	CCONJ	7	cc
6	el	DET	7	det
7	italiano	NOUN	2	conj
8	Giancarlo	PROPN	7	appos
9	Fisichella	PROPN	8	flat
10	,	PUNCT	13	punct
11	de	ADP	13	case
12	la	DET	13	det
13	escudería	NOUN	2	nmod
14	británica	ADJ	13	amod
15	Benetton	PROPN	13	appos
16	-	PUNCT	17	punct
17	adquirida	ADJ	13	amod
18	recientemente	ADV	17	advmod
19	por	ADP	21	case
20	el	DET	21	det
21	fabricante	NOUN	17	obj
22	francés	ADJ	21	amod
23	Renault	PROPN	21	appos
24	-	PUNCT	17	punct
25	,	PUNCT	13	punct
26	son	AUX	28	cop
27	los	DET	28	det
28	encargados	ADJ	0	root
29	de	ADP	30	mark
30	evolucionar	VERB	28	xcomp
31	en	ADP	32	case
32	Jerez	PROPN	30	obl
33	el	DET	34	det
34	monoplaza	NOUN	30	obj
35	con	ADP	37	case
36	el	DET	37	det
37	que	PRON	42	obl
38	el	DET	39	det
39	último	ADJ	42	nsubj
40	de	ADP	41	case
41	ellos	PRON	39	nmod
42	conquistó	VERB	34	acl
43	una	DET	45	det
44	segunda	ADJ	45	amod
45	plaza	NOUN	42	obj
46	en	ADP	47	case
47	Brasil	PROPN	45	nmod
48	y	CCONJ	51	cc
49	un	DET	51	det
50	quinto	ADJ	51	amod
51	lugar	NOUN	45	conj
52	en	ADP	53	case
53	Australia	PROPN	51	nmod
54	.	PUNCT	28	punct