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:
La instructora del caso KIO, además, ha pedido que se recojan todos los datos y documentación de los avales ahora cancelados.
Postion	Tokenization
1	La
2	instructora
3	del
4	caso
5	KIO
6	,
7	además
8	,
9	ha
10	pedido
11	que
12	se
13	recojan
14	todos
15	los
16	datos
17	y
18	documentación
19	de
20	los
21	avales
22	ahora
23	cancelados
24	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	instructora	NOUN	10	nsubj
3	del	ADP	4	case
4	caso	PROPN	2	nmod
5	KIO	PROPN	4	flat
6	,	PUNCT	7	punct
7	además	ADV	10	advmod
8	,	PUNCT	7	punct
9	ha	AUX	10	aux
10	pedido	VERB	0	root
11	que	SCONJ	13	mark
12	se	PRON	13	expl:pass
13	recojan	VERB	10	ccomp
14	todos	DET	15	det
15	los	DET	16	det
16	datos	NOUN	13	nsubj
17	y	CCONJ	18	cc
18	documentación	NOUN	16	conj
19	de	ADP	21	case
20	los	DET	21	det
21	avales	NOUN	16	nmod
22	ahora	ADV	23	advmod
23	cancelados	ADJ	21	amod
24	.	PUNCT	10	punct