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 ayuntamiento ya dispone de datos sobre la Via Alexandra, donde según el concejal de Via Pública, Joan Carles Sánchez, hay 260 vecinos interesados en adquirir plazas.
Postion	Tokenization
1	El
2	ayuntamiento
3	ya
4	dispone
5	de
6	datos
7	sobre
8	la
9	Via
10	Alexandra
11	,
12	donde
13	según
14	el
15	concejal
16	de
17	Via
18	Pública
19	,
20	Joan
21	Carles
22	Sánchez
23	,
24	hay
25	260
26	vecinos
27	interesados
28	en
29	adquirir
30	plazas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ayuntamiento	NOUN	4	nsubj
3	ya	ADV	4	advmod
4	dispone	VERB	0	root
5	de	ADP	6	case
6	datos	NOUN	4	obj
7	sobre	ADP	9	case
8	la	DET	9	det
9	Via	PROPN	6	nmod
10	Alexandra	PROPN	9	flat
11	,	PUNCT	24	punct
12	donde	PRON	24	obl
13	según	ADP	15	case
14	el	DET	15	det
15	concejal	NOUN	24	obl
16	de	ADP	17	case
17	Via	PROPN	15	nmod
18	Pública	PROPN	17	flat
19	,	PUNCT	20	punct
20	Joan	PROPN	15	appos
21	Carles	PROPN	20	flat
22	Sánchez	PROPN	20	flat
23	,	PUNCT	20	punct
24	hay	AUX	9	acl
25	260	NUM	26	nummod
26	vecinos	NOUN	24	obj
27	interesados	ADJ	26	amod
28	en	ADP	29	mark
29	adquirir	VERB	27	xcomp
30	plazas	NOUN	29	obj
31	.	PUNCT	4	punct