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:
También consideró que es preciso mejorar la calidad del empleo, aumentar la cobertura por desempleo, perfeccionar la protección social y frenar la siniestralidad laboral.
Postion	Tokenization
1	También
2	consideró
3	que
4	es
5	preciso
6	mejorar
7	la
8	calidad
9	del
10	empleo
11	,
12	aumentar
13	la
14	cobertura
15	por
16	desempleo
17	,
18	perfeccionar
19	la
20	protección
21	social
22	y
23	frenar
24	la
25	siniestralidad
26	laboral
27	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	consideró	VERB	0	root
3	que	SCONJ	5	mark
4	es	AUX	5	cop
5	preciso	ADJ	2	ccomp
6	mejorar	VERB	5	csubj
7	la	DET	8	det
8	calidad	NOUN	6	obj
9	del	ADP	10	case
10	empleo	NOUN	8	nmod
11	,	PUNCT	12	punct
12	aumentar	VERB	6	advcl
13	la	DET	14	det
14	cobertura	NOUN	12	obj
15	por	ADP	16	case
16	desempleo	NOUN	14	nmod
17	,	PUNCT	18	punct
18	perfeccionar	VERB	6	advcl
19	la	DET	20	det
20	protección	NOUN	18	obj
21	social	ADJ	20	amod
22	y	CCONJ	23	cc
23	frenar	VERB	6	conj
24	la	DET	25	det
25	siniestralidad	NOUN	23	obj
26	laboral	ADJ	25	amod
27	.	PUNCT	2	punct