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:
Gorka, nombre del joven sometido al piercing, justificó su petición en el deseo de complacer a su mujer, que esperaba lograr una mayor satisfacción sexual tras la implantación de un pequeño aro en la punta del glande.
Postion	Tokenization
1	Gorka
2	,
3	nombre
4	del
5	joven
6	sometido
7	al
8	piercing
9	,
10	justificó
11	su
12	petición
13	en
14	el
15	deseo
16	de
17	complacer
18	a
19	su
20	mujer
21	,
22	que
23	esperaba
24	lograr
25	una
26	mayor
27	satisfacción
28	sexual
29	tras
30	la
31	implantación
32	de
33	un
34	pequeño
35	aro
36	en
37	la
38	punta
39	del
40	glande
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Gorka	PROPN	10	nsubj
2	,	PUNCT	3	punct
3	nombre	NOUN	1	appos
4	del	ADP	5	case
5	joven	NOUN	3	nmod
6	sometido	ADJ	5	amod
7	al	ADP	8	case
8	piercing	NOUN	6	obj
9	,	PUNCT	3	punct
10	justificó	VERB	0	root
11	su	DET	12	det
12	petición	NOUN	10	obj
13	en	ADP	15	case
14	el	DET	15	det
15	deseo	NOUN	10	obl
16	de	ADP	17	mark
17	complacer	VERB	15	acl
18	a	ADP	20	case
19	su	DET	20	det
20	mujer	NOUN	17	obj
21	,	PUNCT	23	punct
22	que	PRON	23	nsubj
23	esperaba	VERB	20	acl
24	lograr	VERB	23	xcomp
25	una	DET	27	det
26	mayor	ADJ	27	amod
27	satisfacción	NOUN	24	obj
28	sexual	ADJ	27	amod
29	tras	ADP	31	case
30	la	DET	31	det
31	implantación	NOUN	24	obl
32	de	ADP	35	case
33	un	DET	35	det
34	pequeño	ADJ	35	amod
35	aro	NOUN	31	nmod
36	en	ADP	38	case
37	la	DET	38	det
38	punta	NOUN	31	nmod
39	del	ADP	40	case
40	glande	NOUN	38	nmod
41	.	PUNCT	10	punct