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:
Por ello, González pidió una reforma "urgente" del sistema de contratación de extranjeros que permita un sistema "ágil y rápido" para insertar a los inmigrantes en el mercado laboral.
Postion	Tokenization
1	Por
2	ello
3	,
4	González
5	pidió
6	una
7	reforma
8	"
9	urgente
10	"
11	del
12	sistema
13	de
14	contratación
15	de
16	extranjeros
17	que
18	permita
19	un
20	sistema
21	"
22	ágil
23	y
24	rápido
25	"
26	para
27	insertar
28	a
29	los
30	inmigrantes
31	en
32	el
33	mercado
34	laboral
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	ello	PRON	5	obl
3	,	PUNCT	2	punct
4	González	PROPN	5	nsubj
5	pidió	VERB	0	root
6	una	DET	7	det
7	reforma	NOUN	5	obj
8	"	PUNCT	9	punct
9	urgente	ADJ	7	amod
10	"	PUNCT	9	punct
11	del	ADP	12	case
12	sistema	NOUN	7	nmod
13	de	ADP	14	case
14	contratación	NOUN	12	nmod
15	de	ADP	16	case
16	extranjeros	NOUN	14	nmod
17	que	PRON	18	nsubj
18	permita	VERB	7	acl
19	un	DET	20	det
20	sistema	NOUN	18	obj
21	"	PUNCT	22	punct
22	ágil	ADJ	20	amod
23	y	CCONJ	24	cc
24	rápido	ADJ	22	conj
25	"	PUNCT	22	punct
26	para	ADP	27	mark
27	insertar	VERB	20	acl
28	a	ADP	30	case
29	los	DET	30	det
30	inmigrantes	NOUN	27	obj
31	en	ADP	33	case
32	el	DET	33	det
33	mercado	NOUN	27	obl
34	laboral	ADJ	33	amod
35	.	PUNCT	5	punct