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:
Claret, que ha interpretado la obra en diversos países y la estrena por primera vez frente al público barcelonés, aseguró: "Don Quijote es muy difícil.
Postion	Tokenization
1	Claret
2	,
3	que
4	ha
5	interpretado
6	la
7	obra
8	en
9	diversos
10	países
11	y
12	la
13	estrena
14	por
15	primera
16	vez
17	frente
18	al
19	público
20	barcelonés
21	,
22	aseguró
23	:
24	"
25	Don
26	Quijote
27	es
28	muy
29	difícil
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Claret	PROPN	22	nsubj
2	,	PUNCT	5	punct
3	que	PRON	5	nsubj
4	ha	AUX	5	aux
5	interpretado	VERB	1	acl
6	la	DET	7	det
7	obra	NOUN	5	obj
8	en	ADP	10	case
9	diversos	DET	10	det
10	países	NOUN	5	obl
11	y	CCONJ	13	cc
12	la	PRON	13	obj
13	estrena	VERB	5	conj
14	por	ADP	16	case
15	primera	ADJ	16	amod
16	vez	NOUN	13	obl
17	frente	ADV	13	advmod
18	al	ADP	19	case
19	público	NOUN	17	obl
20	barcelonés	ADJ	19	amod
21	,	PUNCT	5	punct
22	aseguró	VERB	0	root
23	:	PUNCT	29	punct
24	"	PUNCT	29	punct
25	Don	PROPN	29	nsubj
26	Quijote	PROPN	25	flat
27	es	AUX	29	cop
28	muy	ADV	29	advmod
29	difícil	ADJ	22	ccomp
30	.	PUNCT	22	punct