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:
BLANCA ESTHER DIAZ, que instruía la causa por la desaparición de sumarios que afectan a Jesús Gil, ha decidido abstenerse por haber trabajado de sustituta en uno de los tres juzgados marbellís en que desaparecieron documentos judiciales.
Postion	Tokenization
1	BLANCA
2	ESTHER
3	DIAZ
4	,
5	que
6	instruía
7	la
8	causa
9	por
10	la
11	desaparición
12	de
13	sumarios
14	que
15	afectan
16	a
17	Jesús
18	Gil
19	,
20	ha
21	decidido
22	abstenerse
23	abstener
24	se
25	por
26	haber
27	trabajado
28	de
29	sustituta
30	en
31	uno
32	de
33	los
34	tres
35	juzgados
36	marbellís
37	en
38	que
39	desaparecieron
40	documentos
41	judiciales
42	.
Position	Tokenization	UPOS	Head	Deprel
1	BLANCA	PROPN	21	nsubj
2	ESTHER	PROPN	1	flat
3	DIAZ	PROPN	1	flat
4	,	PUNCT	6	punct
5	que	PRON	6	nsubj
6	instruía	VERB	1	acl
7	la	DET	8	det
8	causa	NOUN	6	obj
9	por	ADP	11	case
10	la	DET	11	det
11	desaparición	NOUN	8	nmod
12	de	ADP	13	case
13	sumarios	NOUN	11	nmod
14	que	PRON	15	nsubj
15	afectan	VERB	13	acl
16	a	ADP	17	case
17	Jesús	PROPN	15	obj
18	Gil	PROPN	17	flat
19	,	PUNCT	6	punct
20	ha	AUX	21	aux
21	decidido	VERB	0	root
22	abstenerse	_	None	_
23	abstener	VERB	21	xcomp
24	se	PRON	22	expl:pv
25	por	ADP	26	mark
26	haber	AUX	26	aux
27	trabajado	VERB	22	advcl
28	de	ADP	28	case
29	sustituta	NOUN	26	obl
30	en	ADP	30	case
31	uno	PRON	26	obl
32	de	ADP	34	case
33	los	DET	34	det
34	tres	NUM	32	nummod
35	juzgados	NOUN	30	nmod
36	marbellís	ADJ	34	amod
37	en	ADP	37	case
38	que	PRON	38	obl
39	desaparecieron	VERB	34	acl
40	documentos	NOUN	38	nsubj
41	judiciales	ADJ	39	amod
42	.	PUNCT	21	punct