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 defensa brasileño del Real Madrid Roberto Carlos Da Silva aseguró que el partido del Sábado contra el Barcelona era uno de los "más importantes de la Liga" y donde se podía "definir" el campeonato.
Postion	Tokenization
1	El
2	defensa
3	brasileño
4	del
5	Real
6	Madrid
7	Roberto
8	Carlos
9	Da
10	Silva
11	aseguró
12	que
13	el
14	partido
15	del
16	Sábado
17	contra
18	el
19	Barcelona
20	era
21	uno
22	de
23	los
24	"
25	más
26	importantes
27	de
28	la
29	Liga
30	"
31	y
32	donde
33	se
34	podía
35	"
36	definir
37	"
38	el
39	campeonato
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	defensa	NOUN	11	nsubj
3	brasileño	ADJ	2	amod
4	del	ADP	5	case
5	Real	PROPN	2	nmod
6	Madrid	PROPN	5	flat
7	Roberto	PROPN	2	appos
8	Carlos	PROPN	7	flat
9	Da	ADP	10	case
10	Silva	PROPN	7	flat
11	aseguró	VERB	0	root
12	que	SCONJ	21	mark
13	el	DET	14	det
14	partido	NOUN	21	nsubj
15	del	ADP	16	case
16	Sábado	NOUN	14	nmod
17	contra	ADP	19	case
18	el	DET	19	det
19	Barcelona	PROPN	14	nmod
20	era	AUX	21	cop
21	uno	PRON	11	ccomp
22	de	ADP	26	case
23	los	DET	26	det
24	"	PUNCT	26	punct
25	más	ADV	26	advmod
26	importantes	ADJ	21	amod
27	de	ADP	29	case
28	la	DET	29	det
29	Liga	PROPN	26	nmod
30	"	PUNCT	26	punct
31	y	CCONJ	36	cc
32	donde	PRON	36	obl
33	se	PRON	36	expl:pass
34	podía	AUX	36	aux
35	"	PUNCT	36	punct
36	definir	VERB	21	conj
37	"	PUNCT	36	punct
38	el	DET	39	det
39	campeonato	NOUN	36	nsubj
40	.	PUNCT	11	punct