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:
Dalton, que cuenta como chef con Dan Craven (en la foto, preparando una serpiente), ha creado incluso el mobiliario del restaurante, mezcla de minimalismo y audacias en piel.
Postion	Tokenization
1	Dalton
2	,
3	que
4	cuenta
5	como
6	chef
7	con
8	Dan
9	Craven
10	(
11	en
12	la
13	foto
14	,
15	preparando
16	una
17	serpiente
18	)
19	,
20	ha
21	creado
22	incluso
23	el
24	mobiliario
25	del
26	restaurante
27	,
28	mezcla
29	de
30	minimalismo
31	y
32	audacias
33	en
34	piel
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Dalton	PROPN	21	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	cuenta	VERB	1	acl
5	como	SCONJ	6	mark
6	chef	NOUN	4	obl
7	con	ADP	8	case
8	Dan	PROPN	4	obj
9	Craven	PROPN	8	flat
10	(	PUNCT	15	punct
11	en	ADP	13	case
12	la	DET	13	det
13	foto	NOUN	15	obl
14	,	PUNCT	13	punct
15	preparando	VERB	4	parataxis
16	una	DET	17	det
17	serpiente	NOUN	15	obj
18	)	PUNCT	15	punct
19	,	PUNCT	4	punct
20	ha	AUX	21	aux
21	creado	VERB	0	root
22	incluso	ADV	21	advmod
23	el	DET	24	det
24	mobiliario	NOUN	21	obj
25	del	ADP	26	case
26	restaurante	NOUN	24	nmod
27	,	PUNCT	28	punct
28	mezcla	NOUN	24	appos
29	de	ADP	30	case
30	minimalismo	NOUN	28	nmod
31	y	CCONJ	32	cc
32	audacias	NOUN	30	conj
33	en	ADP	34	case
34	piel	NOUN	32	nmod
35	.	PUNCT	21	punct