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 pasado agosto, un incidente en la comisaría de Roses (Alt Empordà), obligó a la Generalitat a suspender de trabajo y sueldo a ocho agentes, siete de los cuales se reincorporaron días después.
Postion	Tokenization
1	El
2	pasado
3	agosto
4	,
5	un
6	incidente
7	en
8	la
9	comisaría
10	de
11	Roses
12	(
13	Alt
14	Empordà
15	)
16	,
17	obligó
18	a
19	la
20	Generalitat
21	a
22	suspender
23	de
24	trabajo
25	y
26	sueldo
27	a
28	ocho
29	agentes
30	,
31	siete
32	de
33	los
34	cuales
35	se
36	reincorporaron
37	días
38	después
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	pasado	ADJ	3	amod
3	agosto	NOUN	17	obl
4	,	PUNCT	3	punct
5	un	DET	6	det
6	incidente	NOUN	17	nsubj
7	en	ADP	9	case
8	la	DET	9	det
9	comisaría	NOUN	6	nmod
10	de	ADP	11	case
11	Roses	PROPN	9	nmod
12	(	PUNCT	13	punct
13	Alt	PROPN	11	flat
14	Empordà	PROPN	13	flat
15	)	PUNCT	13	punct
16	,	PUNCT	6	punct
17	obligó	VERB	0	root
18	a	ADP	20	case
19	la	DET	20	det
20	Generalitat	PROPN	17	iobj
21	a	ADP	22	mark
22	suspender	VERB	17	xcomp
23	de	ADP	24	case
24	trabajo	NOUN	22	obl
25	y	CCONJ	26	cc
26	sueldo	NOUN	24	conj
27	a	ADP	29	case
28	ocho	NUM	29	nummod
29	agentes	NOUN	22	obj
30	,	PUNCT	36	punct
31	siete	NUM	36	nsubj
32	de	ADP	34	case
33	los	DET	34	det
34	cuales	PRON	31	nmod
35	se	PRON	36	expl:pv
36	reincorporaron	VERB	29	acl
37	días	NOUN	38	obl
38	después	ADV	36	advmod
39	.	PUNCT	17	punct