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 desempleo de los jóvenes menores de 25 años se redujo en mayo en 12.463 personas, un 4,61 por ciento, y su tasa de paro es del 10,41 por ciento.
Postion	Tokenization
1	El
2	desempleo
3	de
4	los
5	jóvenes
6	menores
7	de
8	25
9	años
10	se
11	redujo
12	en
13	mayo
14	en
15	12.463
16	personas
17	,
18	un
19	4,61
20	por
21	ciento
22	,
23	y
24	su
25	tasa
26	de
27	paro
28	es
29	del
30	10,41
31	por
32	ciento
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	desempleo	NOUN	11	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	jóvenes	NOUN	2	nmod
6	menores	ADJ	5	amod
7	de	ADP	9	case
8	25	NUM	9	nummod
9	años	NOUN	6	nmod
10	se	PRON	11	expl:pv
11	redujo	VERB	0	root
12	en	ADP	13	case
13	mayo	NOUN	11	obl
14	en	ADP	16	case
15	12.463	NUM	16	nummod
16	personas	NOUN	11	obl
17	,	PUNCT	19	punct
18	un	DET	19	det
19	4,61	NUM	16	appos
20	por	ADP	21	case
21	ciento	NUM	19	compound
22	,	PUNCT	19	punct
23	y	CCONJ	30	cc
24	su	DET	25	det
25	tasa	NOUN	30	nsubj
26	de	ADP	27	case
27	paro	NOUN	25	nmod
28	es	AUX	30	cop
29	del	ADP	30	case
30	10,41	NUM	11	conj
31	por	ADP	32	case
32	ciento	NUM	30	compound
33	.	PUNCT	11	punct