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 sindicato criticó hoy la política de empleo desarrollada por el Gobierno hacia los jóvenes, dado que 1,14 millones de ellos tenían un contrato temporal y 724.800 estaban desempleados en el cuarto trimestre de 1999.
Postion	Tokenization
1	El
2	sindicato
3	criticó
4	hoy
5	la
6	política
7	de
8	empleo
9	desarrollada
10	por
11	el
12	Gobierno
13	hacia
14	los
15	jóvenes
16	,
17	dado
18	que
19	1,14
20	millones
21	de
22	ellos
23	tenían
24	un
25	contrato
26	temporal
27	y
28	724.800
29	estaban
30	desempleados
31	en
32	el
33	cuarto
34	trimestre
35	de
36	1999
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	sindicato	NOUN	3	nsubj
3	criticó	VERB	0	root
4	hoy	ADV	3	advmod
5	la	DET	6	det
6	política	NOUN	3	obj
7	de	ADP	8	case
8	empleo	NOUN	6	nmod
9	desarrollada	ADJ	6	amod
10	por	ADP	12	case
11	el	DET	12	det
12	Gobierno	PROPN	9	obj
13	hacia	ADP	15	case
14	los	DET	15	det
15	jóvenes	NOUN	6	nmod
16	,	PUNCT	23	punct
17	dado	NOUN	23	mark
18	que	SCONJ	17	fixed
19	1,14	NUM	20	nummod
20	millones	NOUN	23	nsubj
21	de	ADP	22	case
22	ellos	PRON	20	nmod
23	tenían	VERB	3	advcl
24	un	DET	25	det
25	contrato	NOUN	23	obj
26	temporal	ADJ	25	amod
27	y	CCONJ	30	cc
28	724.800	NUM	30	nsubj
29	estaban	AUX	30	cop
30	desempleados	ADJ	23	conj
31	en	ADP	34	case
32	el	DET	34	det
33	cuarto	ADJ	34	amod
34	trimestre	ADJ	30	advmod
35	de	ADP	36	case
36	1999	NOUN	34	nmod
37	.	PUNCT	3	punct