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 iba escuchando música con un walkman y, al atravesar la avenida de Barberà, se dio cuenta de que dos individuos de estética skinhead le increpaban con insultos racistas desde un autobús.
Postion	Tokenization
1	El
2	joven
3	iba
4	escuchando
5	música
6	con
7	un
8	walkman
9	y
10	,
11	al
12	atravesar
13	la
14	avenida
15	de
16	Barberà
17	,
18	se
19	dio
20	cuenta
21	de
22	que
23	dos
24	individuos
25	de
26	estética
27	skinhead
28	le
29	increpaban
30	con
31	insultos
32	racistas
33	desde
34	un
35	autobús
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	joven	NOUN	4	nsubj
3	iba	AUX	4	aux
4	escuchando	VERB	0	root
5	música	NOUN	4	obj
6	con	ADP	8	case
7	un	DET	8	det
8	walkman	NOUN	4	obl
9	y	CCONJ	19	cc
10	,	PUNCT	12	punct
11	al	ADP	12	mark
12	atravesar	VERB	19	advcl
13	la	DET	14	det
14	avenida	NOUN	12	obj
15	de	ADP	16	case
16	Barberà	PROPN	14	nmod
17	,	PUNCT	12	punct
18	se	PRON	19	expl:pv
19	dio	VERB	4	conj
20	cuenta	NOUN	19	compound
21	de	ADP	29	mark
22	que	SCONJ	29	mark
23	dos	NUM	24	nummod
24	individuos	NOUN	29	nsubj
25	de	ADP	26	case
26	estética	NOUN	24	nmod
27	skinhead	ADJ	26	amod
28	le	PRON	29	obj
29	increpaban	VERB	19	ccomp
30	con	ADP	31	case
31	insultos	NOUN	29	obl
32	racistas	ADJ	31	amod
33	desde	ADP	35	case
34	un	DET	35	det
35	autobús	NOUN	29	obl
36	.	PUNCT	4	punct