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 JOVEN ARGELINO, de 17 años, se encontraba tirado en uno de los márgenes de la autovía del 92, en Baza (Granada).
Postion	Tokenization
1	EL
2	JOVEN
3	ARGELINO
4	,
5	de
6	17
7	años
8	,
9	se
10	encontraba
11	tirado
12	en
13	uno
14	de
15	los
16	márgenes
17	de
18	la
19	autovía
20	del
21	92
22	,
23	en
24	Baza
25	(
26	Granada
27	)
28	.
Position	Tokenization	UPOS	Head	Deprel
1	EL	DET	3	det
2	JOVEN	ADJ	3	amod
3	ARGELINO	NOUN	10	nsubj
4	,	PUNCT	7	punct
5	de	ADP	7	case
6	17	NUM	7	nummod
7	años	NOUN	3	nmod
8	,	PUNCT	7	punct
9	se	PRON	10	expl:pass
10	encontraba	VERB	0	root
11	tirado	ADJ	10	obj
12	en	ADP	13	case
13	uno	PRON	11	obl
14	de	ADP	16	case
15	los	DET	16	det
16	márgenes	NOUN	13	nmod
17	de	ADP	19	case
18	la	DET	19	det
19	autovía	NOUN	16	nmod
20	del	ADP	21	case
21	92	NOUN	19	nmod
22	,	PUNCT	24	punct
23	en	ADP	24	case
24	Baza	PROPN	19	nmod
25	(	PUNCT	26	punct
26	Granada	PROPN	24	flat
27	)	PUNCT	26	punct
28	.	PUNCT	10	punct