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:
Con la urgencia de un animal nocturno al que se le escapa el sol, Ginés saltó del vehículo y se fue hacia la mesa de recepción de los vestuarios.
Postion	Tokenization
1	Con
2	la
3	urgencia
4	de
5	un
6	animal
7	nocturno
8	al
9	que
10	se
11	le
12	escapa
13	el
14	sol
15	,
16	Ginés
17	saltó
18	del
19	vehículo
20	y
21	se
22	fue
23	hacia
24	la
25	mesa
26	de
27	recepción
28	de
29	los
30	vestuarios
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	la	DET	3	det
3	urgencia	NOUN	17	obl
4	de	ADP	6	case
5	un	DET	6	det
6	animal	NOUN	3	nmod
7	nocturno	ADJ	6	amod
8	al	ADP	9	case
9	que	PRON	12	obj
10	se	PRON	12	expl:pv
11	le	PRON	12	obj
12	escapa	VERB	6	acl
13	el	DET	14	det
14	sol	NOUN	12	nsubj
15	,	PUNCT	3	punct
16	Ginés	PROPN	17	nsubj
17	saltó	VERB	0	root
18	del	ADP	19	case
19	vehículo	NOUN	17	obl
20	y	CCONJ	22	cc
21	se	PRON	22	expl:pv
22	fue	VERB	17	conj
23	hacia	ADP	25	case
24	la	DET	25	det
25	mesa	NOUN	22	obl
26	de	ADP	27	case
27	recepción	NOUN	25	nmod
28	de	ADP	30	case
29	los	DET	30	det
30	vestuarios	NOUN	25	nmod
31	.	PUNCT	17	punct