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:
Y de la quinta de los 90, Cabrera defiende a Pedro Guerra y, sobre todo, a figuras menos conocidas, como Rogelio Botanz y Benito Malasangre.
Postion	Tokenization
1	Y
2	de
3	la
4	quinta
5	de
6	los
7	90
8	,
9	Cabrera
10	defiende
11	a
12	Pedro
13	Guerra
14	y
15	,
16	sobre
17	todo
18	,
19	a
20	figuras
21	menos
22	conocidas
23	,
24	como
25	Rogelio
26	Botanz
27	y
28	Benito
29	Malasangre
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	10	advmod
2	de	ADP	4	case
3	la	DET	4	det
4	quinta	NOUN	10	obl
5	de	ADP	7	case
6	los	DET	7	det
7	90	NOUN	4	nmod
8	,	PUNCT	4	punct
9	Cabrera	PROPN	10	nsubj
10	defiende	VERB	0	root
11	a	ADP	12	case
12	Pedro	PROPN	10	obj
13	Guerra	PROPN	12	flat
14	y	CCONJ	16	cc
15	,	PUNCT	16	punct
16	sobre	ADP	12	conj
17	todo	PRON	16	fixed
18	,	PUNCT	16	punct
19	a	ADP	16	case
20	figuras	NOUN	16	nmod
21	menos	ADV	22	advmod
22	conocidas	ADJ	20	amod
23	,	PUNCT	25	punct
24	como	SCONJ	25	mark
25	Rogelio	PROPN	20	nmod
26	Botanz	PROPN	25	flat
27	y	CCONJ	28	cc
28	Benito	PROPN	25	conj
29	Malasangre	PROPN	28	flat
30	.	PUNCT	10	punct