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 73 por ciento de los jóvenes activos menores de veinticinco años "está en paro o con contratos precarios", lo que representa que la tasa de temporalidad en este colectivo duplica la media europea, según UGT.
Postion	Tokenization
1	El
2	73
3	por
4	ciento
5	de
6	los
7	jóvenes
8	activos
9	menores
10	de
11	veinticinco
12	años
13	"
14	está
15	en
16	paro
17	o
18	con
19	contratos
20	precarios
21	"
22	,
23	lo
24	que
25	representa
26	que
27	la
28	tasa
29	de
30	temporalidad
31	en
32	este
33	colectivo
34	duplica
35	la
36	media
37	europea
38	,
39	según
40	UGT
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	73	NUM	16	nsubj
3	por	ADP	4	case
4	ciento	NUM	2	compound
5	de	ADP	7	case
6	los	DET	7	det
7	jóvenes	NOUN	2	nmod
8	activos	ADJ	7	amod
9	menores	ADJ	7	amod
10	de	ADP	12	case
11	veinticinco	NUM	12	nummod
12	años	NOUN	9	nmod
13	"	PUNCT	16	punct
14	está	AUX	16	cop
15	en	ADP	16	case
16	paro	NOUN	0	root
17	o	CCONJ	19	cc
18	con	ADP	19	case
19	contratos	NOUN	16	conj
20	precarios	ADJ	19	amod
21	"	PUNCT	16	punct
22	,	PUNCT	25	punct
23	lo	PRON	25	det
24	que	PRON	25	nsubj
25	representa	VERB	16	advcl
26	que	SCONJ	34	mark
27	la	DET	28	det
28	tasa	NOUN	34	nsubj
29	de	ADP	30	case
30	temporalidad	NOUN	28	nmod
31	en	ADP	33	case
32	este	DET	33	det
33	colectivo	NOUN	28	nmod
34	duplica	VERB	25	ccomp
35	la	DET	37	det
36	media	NUM	37	nummod
37	europea	ADJ	34	obj
38	,	PUNCT	40	punct
39	según	ADP	40	case
40	UGT	PROPN	16	obl
41	.	PUNCT	16	punct