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:
Está prevista su reforma, por lo que esperamos poder ofrecer nuestros servicios en un centro estructuralmente más amplio y con una atención más íntegra.
Postion	Tokenization
1	Está
2	prevista
3	su
4	reforma
5	,
6	por
7	lo
8	que
9	esperamos
10	poder
11	ofrecer
12	nuestros
13	servicios
14	en
15	un
16	centro
17	estructuralmente
18	más
19	amplio
20	y
21	con
22	una
23	atención
24	más
25	íntegra
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Está	AUX	2	cop
2	prevista	ADJ	0	root
3	su	DET	4	det
4	reforma	NOUN	2	nsubj
5	,	PUNCT	9	punct
6	por	ADP	9	mark
7	lo	PRON	9	det
8	que	PRON	9	obl
9	esperamos	VERB	2	advcl
10	poder	AUX	11	aux
11	ofrecer	VERB	9	xcomp
12	nuestros	DET	13	det
13	servicios	NOUN	11	obj
14	en	ADP	16	case
15	un	DET	16	det
16	centro	NOUN	11	obl
17	estructuralmente	ADV	19	advmod
18	más	ADV	17	advmod
19	amplio	ADJ	16	amod
20	y	CCONJ	23	cc
21	con	ADP	23	case
22	una	DET	23	det
23	atención	NOUN	19	conj
24	más	ADV	25	advmod
25	íntegra	ADJ	23	amod
26	.	PUNCT	2	punct