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 diputado Roberto Fuentes aseguró: "todas las leyes son perfeccionables y, si hay algún vacío, estaremos en la Mejor disposición para hacer los cambios necesarios".
Postion	Tokenization
1	El
2	diputado
3	Roberto
4	Fuentes
5	aseguró
6	:
7	"
8	todas
9	las
10	leyes
11	son
12	perfeccionables
13	y
14	,
15	si
16	hay
17	algún
18	vacío
19	,
20	estaremos
21	en
22	la
23	Mejor
24	disposición
25	para
26	hacer
27	los
28	cambios
29	necesarios
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	diputado	NOUN	5	nsubj
3	Roberto	PROPN	2	appos
4	Fuentes	PROPN	3	flat
5	aseguró	VERB	0	root
6	:	PUNCT	12	punct
7	"	PUNCT	12	punct
8	todas	DET	9	det
9	las	DET	10	det
10	leyes	NOUN	12	nsubj
11	son	AUX	12	cop
12	perfeccionables	ADJ	5	ccomp
13	y	CCONJ	24	cc
14	,	PUNCT	24	punct
15	si	SCONJ	16	mark
16	hay	AUX	24	advcl
17	algún	DET	18	det
18	vacío	NOUN	16	obj
19	,	PUNCT	16	punct
20	estaremos	AUX	24	cop
21	en	ADP	24	case
22	la	DET	24	det
23	Mejor	ADJ	24	amod
24	disposición	NOUN	12	conj
25	para	ADP	26	mark
26	hacer	VERB	24	acl
27	los	DET	28	det
28	cambios	NOUN	26	obj
29	necesarios	ADJ	28	amod
30	"	PUNCT	12	punct
31	.	PUNCT	5	punct