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:
Un joven de 14 años de Sabadell cuyos padres son de origen guineano fue víctima el pasado martes de una agresión de carácter racista por parte de dos individuos de estética skin.
Postion	Tokenization
1	Un
2	joven
3	de
4	14
5	años
6	de
7	Sabadell
8	cuyos
9	padres
10	son
11	de
12	origen
13	guineano
14	fue
15	víctima
16	el
17	pasado
18	martes
19	de
20	una
21	agresión
22	de
23	carácter
24	racista
25	por
26	parte
27	de
28	dos
29	individuos
30	de
31	estética
32	skin
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	joven	NOUN	15	nsubj
3	de	ADP	5	case
4	14	NUM	5	nummod
5	años	NOUN	2	nmod
6	de	ADP	7	case
7	Sabadell	PROPN	2	nmod
8	cuyos	PRON	9	nmod
9	padres	NOUN	12	nsubj
10	son	AUX	12	cop
11	de	ADP	12	case
12	origen	NOUN	2	acl
13	guineano	ADJ	12	amod
14	fue	AUX	15	cop
15	víctima	NOUN	0	root
16	el	DET	18	det
17	pasado	ADJ	18	amod
18	martes	NOUN	15	obl
19	de	ADP	21	case
20	una	DET	21	det
21	agresión	NOUN	15	obj
22	de	ADP	23	case
23	carácter	NOUN	21	nmod
24	racista	ADJ	23	amod
25	por	ADP	29	case
26	parte	NOUN	25	fixed
27	de	ADP	25	fixed
28	dos	NUM	29	nummod
29	individuos	NOUN	21	nmod
30	de	ADP	31	case
31	estética	NOUN	29	nmod
32	skin	ADJ	31	amod
33	.	PUNCT	15	punct