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:
Los sindicatos de la función pública rechazaron ayer la propuesta del Govern de la Generalitat de subir el sueldo de los funcionarios catalanes este año en un 2,7%, en la reunión de la mesa de la función pública.
Postion	Tokenization
1	Los
2	sindicatos
3	de
4	la
5	función
6	pública
7	rechazaron
8	ayer
9	la
10	propuesta
11	del
12	Govern
13	de
14	la
15	Generalitat
16	de
17	subir
18	el
19	sueldo
20	de
21	los
22	funcionarios
23	catalanes
24	este
25	año
26	en
27	un
28	2,7%
29	,
30	en
31	la
32	reunión
33	de
34	la
35	mesa
36	de
37	la
38	función
39	pública
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	sindicatos	NOUN	7	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	función	NOUN	2	nmod
6	pública	ADJ	5	amod
7	rechazaron	VERB	0	root
8	ayer	ADV	7	advmod
9	la	DET	10	det
10	propuesta	NOUN	7	obj
11	del	ADP	12	case
12	Govern	PROPN	10	nmod
13	de	ADP	15	case
14	la	DET	15	det
15	Generalitat	PROPN	12	flat
16	de	ADP	17	mark
17	subir	VERB	10	acl
18	el	DET	19	det
19	sueldo	NOUN	17	obj
20	de	ADP	22	case
21	los	DET	22	det
22	funcionarios	NOUN	19	nmod
23	catalanes	ADJ	22	amod
24	este	DET	25	det
25	año	NOUN	17	obl
26	en	ADP	28	case
27	un	DET	28	det
28	2,7%	SYM	17	obl
29	,	PUNCT	32	punct
30	en	ADP	32	case
31	la	DET	32	det
32	reunión	NOUN	7	obl
33	de	ADP	35	case
34	la	DET	35	det
35	mesa	NOUN	32	nmod
36	de	ADP	38	case
37	la	DET	38	det
38	función	NOUN	35	nmod
39	pública	ADJ	38	amod
40	.	PUNCT	7	punct