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:
Alcober promete que las mejoras concretas que el ayuntamiento lleva a cabo en la zona cambiarán el aspecto de las calles de Antoni de Capmany y Jocs Floras y su entorno inmediato.
Postion	Tokenization
1	Alcober
2	promete
3	que
4	las
5	mejoras
6	concretas
7	que
8	el
9	ayuntamiento
10	lleva
11	a
12	cabo
13	en
14	la
15	zona
16	cambiarán
17	el
18	aspecto
19	de
20	las
21	calles
22	de
23	Antoni
24	de
25	Capmany
26	y
27	Jocs
28	Floras
29	y
30	su
31	entorno
32	inmediato
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Alcober	PROPN	2	nsubj
2	promete	VERB	0	root
3	que	SCONJ	16	mark
4	las	DET	5	det
5	mejoras	NOUN	16	nsubj
6	concretas	ADJ	5	amod
7	que	PRON	10	obj
8	el	DET	9	det
9	ayuntamiento	NOUN	10	nsubj
10	lleva	VERB	5	acl
11	a	ADP	12	case
12	cabo	NOUN	10	compound
13	en	ADP	15	case
14	la	DET	15	det
15	zona	NOUN	10	obl
16	cambiarán	VERB	2	ccomp
17	el	DET	18	det
18	aspecto	NOUN	16	obj
19	de	ADP	21	case
20	las	DET	21	det
21	calles	NOUN	18	nmod
22	de	ADP	23	case
23	Antoni	PROPN	21	nmod
24	de	ADP	25	case
25	Capmany	PROPN	23	flat
26	y	CCONJ	27	cc
27	Jocs	PROPN	23	conj
28	Floras	PROPN	27	flat
29	y	CCONJ	31	cc
30	su	DET	31	det
31	entorno	NOUN	21	conj
32	inmediato	ADJ	31	amod
33	.	PUNCT	2	punct