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:
El departamento boliviano ha solicitado "información técnica del lienzo" al director de Cultura peruano, Luis Repetto, "para realizar la verificación" del caso, agrega la nota.
Postion	Tokenization
1	El
2	departamento
3	boliviano
4	ha
5	solicitado
6	"
7	información
8	técnica
9	del
10	lienzo
11	"
12	al
13	director
14	de
15	Cultura
16	peruano
17	,
18	Luis
19	Repetto
20	,
21	"
22	para
23	realizar
24	la
25	verificación
26	"
27	del
28	caso
29	,
30	agrega
31	la
32	nota
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	departamento	NOUN	5	nsubj
3	boliviano	ADJ	2	amod
4	ha	AUX	5	aux
5	solicitado	VERB	30	ccomp
6	"	PUNCT	7	punct
7	información	NOUN	5	obj
8	técnica	ADJ	7	amod
9	del	ADP	10	case
10	lienzo	NOUN	7	nmod
11	"	PUNCT	7	punct
12	al	ADP	13	case
13	director	NOUN	5	obj
14	de	ADP	15	case
15	Cultura	PROPN	13	nmod
16	peruano	ADJ	13	amod
17	,	PUNCT	18	punct
18	Luis	PROPN	13	appos
19	Repetto	PROPN	18	flat
20	,	PUNCT	18	punct
21	"	PUNCT	23	punct
22	para	ADP	23	mark
23	realizar	VERB	5	advcl
24	la	DET	25	det
25	verificación	NOUN	23	obj
26	"	PUNCT	25	punct
27	del	ADP	28	case
28	caso	NOUN	25	nmod
29	,	PUNCT	5	punct
30	agrega	VERB	0	root
31	la	DET	32	det
32	nota	NOUN	30	nsubj
33	.	PUNCT	30	punct