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 abrió un expediente de intervención del servicio a la concesionaria de la perrera, SACPA, tras conocerse que la empresa sacrificaba a perros y gatos sin sedación previa y en una lenta agonía.
Postion	Tokenization
1	El
2	ayuntamiento
3	abrió
4	un
5	expediente
6	de
7	intervención
8	del
9	servicio
10	a
11	la
12	concesionaria
13	de
14	la
15	perrera
16	,
17	SACPA
18	,
19	tras
20	conocerse
21	conocer
22	se
23	que
24	la
25	empresa
26	sacrificaba
27	a
28	perros
29	y
30	gatos
31	sin
32	sedación
33	previa
34	y
35	en
36	una
37	lenta
38	agonía
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ayuntamiento	NOUN	3	nsubj
3	abrió	VERB	0	root
4	un	DET	5	det
5	expediente	NOUN	3	obj
6	de	ADP	7	case
7	intervención	NOUN	5	nmod
8	del	ADP	9	case
9	servicio	NOUN	7	nmod
10	a	ADP	12	case
11	la	DET	12	det
12	concesionaria	NOUN	3	obj
13	de	ADP	15	case
14	la	DET	15	det
15	perrera	NOUN	12	nmod
16	,	PUNCT	17	punct
17	SACPA	PROPN	12	appos
18	,	PUNCT	20	punct
19	tras	ADP	20	mark
20	conocerse	_	None	_
21	conocer	VERB	3	advcl
22	se	PRON	20	expl:pass
23	que	SCONJ	25	mark
24	la	DET	24	det
25	empresa	NOUN	25	nsubj
26	sacrificaba	VERB	20	ccomp
27	a	ADP	27	case
28	perros	NOUN	25	obj
29	y	CCONJ	29	cc
30	gatos	NOUN	27	conj
31	sin	ADP	31	case
32	sedación	NOUN	25	obl
33	previa	ADJ	31	amod
34	y	CCONJ	37	cc
35	en	ADP	37	case
36	una	DET	37	det
37	lenta	ADJ	37	amod
38	agonía	NOUN	31	conj
39	.	PUNCT	3	punct