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:
En relación a la precariedad laboral, el líder sindical dijo que "mientras no se acabe" con ella "los niveles de siniestralidad laboral continuarán siendo el gran problema".
Postion	Tokenization
1	En
2	relación
3	a
4	la
5	precariedad
6	laboral
7	,
8	el
9	líder
10	sindical
11	dijo
12	que
13	"
14	mientras
15	no
16	se
17	acabe
18	"
19	con
20	ella
21	"
22	los
23	niveles
24	de
25	siniestralidad
26	laboral
27	continuarán
28	siendo
29	el
30	gran
31	problema
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	case
2	relación	NOUN	1	fixed
3	a	ADP	1	fixed
4	la	DET	5	det
5	precariedad	NOUN	11	obl
6	laboral	ADJ	5	amod
7	,	PUNCT	5	punct
8	el	DET	9	det
9	líder	NOUN	11	nsubj
10	sindical	ADJ	9	amod
11	dijo	VERB	0	root
12	que	SCONJ	27	mark
13	"	PUNCT	17	punct
14	mientras	SCONJ	17	mark
15	no	ADV	17	advmod
16	se	PRON	17	expl:pv
17	acabe	VERB	31	advcl
18	"	PUNCT	17	punct
19	con	ADP	20	case
20	ella	PRON	17	obj
21	"	PUNCT	27	punct
22	los	DET	23	det
23	niveles	NOUN	27	nsubj
24	de	ADP	25	case
25	siniestralidad	NOUN	23	nmod
26	laboral	ADJ	25	amod
27	continuarán	VERB	11	ccomp
28	siendo	AUX	31	cop
29	el	DET	31	det
30	gran	ADJ	31	amod
31	problema	NOUN	27	xcomp
32	"	PUNCT	27	punct
33	.	PUNCT	11	punct