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 de Terrassa ha aceptado que el Consell Comarcal construya en los terrenos de Can Barba una planta para convertir restos orgánicos en biogás y generar electricidad.
Postion	Tokenization
1	El
2	Ayuntamiento
3	de
4	Terrassa
5	ha
6	aceptado
7	que
8	el
9	Consell
10	Comarcal
11	construya
12	en
13	los
14	terrenos
15	de
16	Can
17	Barba
18	una
19	planta
20	para
21	convertir
22	restos
23	orgánicos
24	en
25	biogás
26	y
27	generar
28	electricidad
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Ayuntamiento	PROPN	6	nsubj
3	de	ADP	4	case
4	Terrassa	PROPN	2	flat
5	ha	AUX	6	aux
6	aceptado	VERB	0	root
7	que	SCONJ	11	mark
8	el	DET	9	det
9	Consell	PROPN	11	nsubj
10	Comarcal	PROPN	9	flat
11	construya	VERB	6	ccomp
12	en	ADP	14	case
13	los	DET	14	det
14	terrenos	NOUN	11	obl
15	de	ADP	16	case
16	Can	PROPN	14	nmod
17	Barba	PROPN	16	flat
18	una	DET	19	det
19	planta	NOUN	11	obj
20	para	ADP	21	mark
21	convertir	VERB	19	acl
22	restos	NOUN	21	obj
23	orgánicos	ADJ	22	amod
24	en	ADP	25	case
25	biogás	NOUN	21	obj
26	y	CCONJ	27	cc
27	generar	VERB	21	conj
28	electricidad	NOUN	27	obj
29	.	PUNCT	6	punct