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:
Respecto al difícil carácter del director italiano, Battistoni desveló ayer la ternura del maestro, su capacidad "artesanal" de concebir el teatro y la importancia que daba a la fidelidad personal y profesional.
Postion	Tokenization
1	Respecto
2	al
3	difícil
4	carácter
5	del
6	director
7	italiano
8	,
9	Battistoni
10	desveló
11	ayer
12	la
13	ternura
14	del
15	maestro
16	,
17	su
18	capacidad
19	"
20	artesanal
21	"
22	de
23	concebir
24	el
25	teatro
26	y
27	la
28	importancia
29	que
30	daba
31	a
32	la
33	fidelidad
34	personal
35	y
36	profesional
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Respecto	NOUN	4	case
2	al	ADP	1	fixed
3	difícil	ADJ	4	amod
4	carácter	NOUN	10	obl
5	del	ADP	6	case
6	director	NOUN	4	nmod
7	italiano	ADJ	6	amod
8	,	PUNCT	4	punct
9	Battistoni	PROPN	10	nsubj
10	desveló	VERB	0	root
11	ayer	ADV	10	advmod
12	la	DET	13	det
13	ternura	NOUN	10	obj
14	del	ADP	15	case
15	maestro	NOUN	13	nmod
16	,	PUNCT	18	punct
17	su	DET	18	det
18	capacidad	NOUN	13	appos
19	"	PUNCT	20	punct
20	artesanal	ADJ	18	amod
21	"	PUNCT	20	punct
22	de	ADP	23	mark
23	concebir	VERB	18	acl
24	el	DET	25	det
25	teatro	NOUN	23	obj
26	y	CCONJ	28	cc
27	la	DET	28	det
28	importancia	NOUN	13	conj
29	que	PRON	30	obj
30	daba	VERB	28	acl
31	a	ADP	33	case
32	la	DET	33	det
33	fidelidad	NOUN	30	obj
34	personal	ADJ	33	amod
35	y	CCONJ	36	cc
36	profesional	ADJ	34	conj
37	.	PUNCT	10	punct