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 si la sentencia del juez no es suficiente para convertir la de los rayos en oficial?, - cómo es posible que se condene a alguien por quemar un trozo de tela sin más atributos?.
Postion	Tokenization
1	Y
2	si
3	la
4	sentencia
5	del
6	juez
7	no
8	es
9	suficiente
10	para
11	convertir
12	la
13	de
14	los
15	rayos
16	en
17	oficial
18	?
19	,
20	-
21	cómo
22	es
23	posible
24	que
25	se
26	condene
27	a
28	alguien
29	por
30	quemar
31	un
32	trozo
33	de
34	tela
35	sin
36	más
37	atributos
38	?
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	23	advmod
2	si	SCONJ	9	mark
3	la	DET	4	det
4	sentencia	NOUN	9	nsubj
5	del	ADP	6	case
6	juez	NOUN	4	nmod
7	no	ADV	9	advmod
8	es	AUX	9	cop
9	suficiente	ADJ	23	advcl
10	para	ADP	11	mark
11	convertir	VERB	9	acl
12	la	DET	11	det
13	de	ADP	12	case
14	los	DET	15	det
15	rayos	NOUN	12	obj
16	en	ADP	17	case
17	oficial	ADJ	11	obj
18	?	PUNCT	9	punct
19	,	PUNCT	9	punct
20	-	PUNCT	23	punct
21	cómo	PRON	23	obl
22	es	AUX	23	cop
23	posible	ADJ	0	root
24	que	SCONJ	26	mark
25	se	PRON	26	expl:impers
26	condene	VERB	23	csubj
27	a	ADP	28	case
28	alguien	PRON	26	obj
29	por	ADP	30	mark
30	quemar	VERB	26	advcl
31	un	DET	32	det
32	trozo	NOUN	30	obj
33	de	ADP	34	case
34	tela	NOUN	32	nmod
35	sin	ADP	37	case
36	más	ADV	37	advmod
37	atributos	NOUN	34	nmod
38	?	PUNCT	23	punct
39	.	PUNCT	23	punct