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:
Al brasileño no lo va a manejar como hacía con el británico Eddie Irvine, este año en Jaguar, y le puede quitar muchos puntos que al final pueden ser decisivos para conseguir el campeonato.
Postion	Tokenization
1	Al
2	brasileño
3	no
4	lo
5	va
6	a
7	manejar
8	como
9	hacía
10	con
11	el
12	británico
13	Eddie
14	Irvine
15	,
16	este
17	año
18	en
19	Jaguar
20	,
21	y
22	le
23	puede
24	quitar
25	muchos
26	puntos
27	que
28	al
29	final
30	pueden
31	ser
32	decisivos
33	para
34	conseguir
35	el
36	campeonato
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	case
2	brasileño	NOUN	7	iobj
3	no	ADV	7	advmod
4	lo	PRON	7	obj
5	va	AUX	7	aux
6	a	ADP	7	mark
7	manejar	VERB	0	root
8	como	SCONJ	9	mark
9	hacía	VERB	7	advcl
10	con	ADP	12	case
11	el	DET	12	det
12	británico	NOUN	9	obl
13	Eddie	PROPN	12	appos
14	Irvine	PROPN	13	flat
15	,	PUNCT	17	punct
16	este	DET	17	det
17	año	NOUN	12	nmod
18	en	ADP	19	case
19	Jaguar	PROPN	17	nmod
20	,	PUNCT	24	punct
21	y	CCONJ	24	cc
22	le	PRON	24	obj
23	puede	AUX	24	aux
24	quitar	VERB	7	conj
25	muchos	DET	26	det
26	puntos	NOUN	24	obj
27	que	PRON	32	nsubj
28	al	ADP	32	advmod
29	final	NOUN	28	fixed
30	pueden	AUX	32	aux
31	ser	AUX	32	cop
32	decisivos	ADJ	26	acl
33	para	ADP	34	mark
34	conseguir	VERB	32	advcl
35	el	DET	36	det
36	campeonato	NOUN	34	obj
37	.	PUNCT	7	punct