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 votarse varios decretos en un mismo paquete, dio lugar a que hubiese un voto favorable que pudo ser interpretado como el apoyo al decreto", dijo Imaz.
Postion	Tokenization
1	"
2	Al
3	votarse
4	votar
5	se
6	varios
7	decretos
8	en
9	un
10	mismo
11	paquete
12	,
13	dio
14	lugar
15	a
16	que
17	hubiese
18	un
19	voto
20	favorable
21	que
22	pudo
23	ser
24	interpretado
25	como
26	el
27	apoyo
28	al
29	decreto
30	"
31	,
32	dijo
33	Imaz
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	12	punct
2	Al	ADP	3	mark
3	votarse	_	None	_
4	votar	VERB	12	xcomp
5	se	PRON	3	expl:pass
6	varios	DET	6	det
7	decretos	NOUN	3	obj
8	en	ADP	10	case
9	un	DET	10	det
10	mismo	DET	8	det
11	paquete	NOUN	3	obl
12	,	PUNCT	3	punct
13	dio	VERB	31	ccomp
14	lugar	NOUN	12	compound
15	a	ADP	16	mark
16	que	SCONJ	16	mark
17	hubiese	AUX	12	ccomp
18	un	DET	18	det
19	voto	NOUN	16	obj
20	favorable	ADJ	18	amod
21	que	PRON	23	nsubj
22	pudo	AUX	23	aux
23	ser	AUX	23	aux
24	interpretado	VERB	18	acl
25	como	SCONJ	26	mark
26	el	DET	26	det
27	apoyo	NOUN	23	obj
28	al	ADP	28	case
29	decreto	NOUN	26	nmod
30	"	PUNCT	12	punct
31	,	PUNCT	12	punct
32	dijo	VERB	0	root
33	Imaz	PROPN	31	nsubj
34	.	PUNCT	31	punct