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:
Jean Pierre Ginoux, director del Princesa Sofía, dedica cada día dos horas de su jornada laboral a explicar a cada nuevo cliente la situación generada por las prostitutas instaladas en los alrededores.
Postion	Tokenization
1	Jean
2	Pierre
3	Ginoux
4	,
5	director
6	del
7	Princesa
8	Sofía
9	,
10	dedica
11	cada
12	día
13	dos
14	horas
15	de
16	su
17	jornada
18	laboral
19	a
20	explicar
21	a
22	cada
23	nuevo
24	cliente
25	la
26	situación
27	generada
28	por
29	las
30	prostitutas
31	instaladas
32	en
33	los
34	alrededores
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Jean	PROPN	10	nsubj
2	Pierre	PROPN	1	flat
3	Ginoux	PROPN	1	flat
4	,	PUNCT	5	punct
5	director	NOUN	1	appos
6	del	ADP	7	case
7	Princesa	PROPN	5	nmod
8	Sofía	PROPN	7	flat
9	,	PUNCT	5	punct
10	dedica	VERB	0	root
11	cada	DET	12	det
12	día	NOUN	10	obl
13	dos	NUM	14	nummod
14	horas	NOUN	10	iobj
15	de	ADP	17	case
16	su	DET	17	det
17	jornada	NOUN	14	nmod
18	laboral	ADJ	17	amod
19	a	ADP	20	mark
20	explicar	VERB	10	xcomp
21	a	ADP	24	case
22	cada	DET	24	det
23	nuevo	ADJ	24	amod
24	cliente	NOUN	20	obj
25	la	DET	26	det
26	situación	NOUN	20	obj
27	generada	ADJ	26	amod
28	por	ADP	30	case
29	las	DET	30	det
30	prostitutas	NOUN	27	obj
31	instaladas	ADJ	30	amod
32	en	ADP	34	case
33	los	DET	34	det
34	alrededores	NOUN	31	obl
35	.	PUNCT	10	punct