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:
Además, el grupo socialista pide también que la Fiscalía Anticorrupción se persone en las causas abiertas para investigar el robo de sumarios relacionados con Jesús Gil en los juzgados de la localidad.
Postion	Tokenization
1	Además
2	,
3	el
4	grupo
5	socialista
6	pide
7	también
8	que
9	la
10	Fiscalía
11	Anticorrupción
12	se
13	persone
14	en
15	las
16	causas
17	abiertas
18	para
19	investigar
20	el
21	robo
22	de
23	sumarios
24	relacionados
25	con
26	Jesús
27	Gil
28	en
29	los
30	juzgados
31	de
32	la
33	localidad
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	6	advmod
2	,	PUNCT	1	punct
3	el	DET	4	det
4	grupo	NOUN	6	nsubj
5	socialista	ADJ	4	amod
6	pide	VERB	0	root
7	también	ADV	6	advmod
8	que	SCONJ	13	mark
9	la	DET	10	det
10	Fiscalía	PROPN	13	nsubj:pass
11	Anticorrupción	PROPN	10	flat
12	se	PRON	13	expl:pv
13	persone	VERB	6	ccomp
14	en	ADP	16	case
15	las	DET	16	det
16	causas	NOUN	13	obj
17	abiertas	ADJ	16	amod
18	para	ADP	19	mark
19	investigar	VERB	13	advcl
20	el	DET	21	det
21	robo	NOUN	19	obj
22	de	ADP	23	case
23	sumarios	NOUN	21	nmod
24	relacionados	ADJ	23	amod
25	con	ADP	26	case
26	Jesús	PROPN	24	obj
27	Gil	PROPN	26	flat
28	en	ADP	30	case
29	los	DET	30	det
30	juzgados	NOUN	21	nmod
31	de	ADP	33	case
32	la	DET	33	det
33	localidad	NOUN	30	nmod
34	.	PUNCT	6	punct