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:
La perrera municipal de Mataró no volverá a practicar eutanasias a los animales mediante la inhalación de CO2 en cámaras cerradas, según informó ayer el responsable de los Servicios Sociales del Ayuntamiento, Oriol Batista.
Postion	Tokenization
1	La
2	perrera
3	municipal
4	de
5	Mataró
6	no
7	volverá
8	a
9	practicar
10	eutanasias
11	a
12	los
13	animales
14	mediante
15	la
16	inhalación
17	de
18	CO2
19	en
20	cámaras
21	cerradas
22	,
23	según
24	informó
25	ayer
26	el
27	responsable
28	de
29	los
30	Servicios
31	Sociales
32	del
33	Ayuntamiento
34	,
35	Oriol
36	Batista
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	perrera	NOUN	7	nsubj
3	municipal	ADJ	2	amod
4	de	ADP	5	case
5	Mataró	PROPN	2	nmod
6	no	ADV	7	advmod
7	volverá	VERB	0	root
8	a	ADP	9	mark
9	practicar	VERB	7	xcomp
10	eutanasias	NOUN	7	obj
11	a	ADP	13	case
12	los	DET	13	det
13	animales	NOUN	7	obj
14	mediante	ADP	16	case
15	la	DET	16	det
16	inhalación	NOUN	7	obl
17	de	ADP	18	case
18	CO2	NOUN	16	nmod
19	en	ADP	20	case
20	cámaras	NOUN	16	nmod
21	cerradas	ADJ	20	amod
22	,	PUNCT	24	punct
23	según	SCONJ	24	mark
24	informó	VERB	9	advcl
25	ayer	ADV	24	advmod
26	el	DET	27	det
27	responsable	NOUN	24	nsubj
28	de	ADP	30	case
29	los	DET	30	det
30	Servicios	PROPN	27	nmod
31	Sociales	PROPN	30	flat
32	del	ADP	33	case
33	Ayuntamiento	PROPN	30	flat
34	,	PUNCT	35	punct
35	Oriol	PROPN	27	appos
36	Batista	PROPN	35	flat
37	.	PUNCT	7	punct