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:
Precisamente, la juez ordena la práctica de esta investigación en la misma resolución por la que se rebaja la fianza que en su día impuso a Javier de la Rosa para recuperar su libertad y salir de la prisión.
Postion	Tokenization
1	Precisamente
2	,
3	la
4	juez
5	ordena
6	la
7	práctica
8	de
9	esta
10	investigación
11	en
12	la
13	misma
14	resolución
15	por
16	la
17	que
18	se
19	rebaja
20	la
21	fianza
22	que
23	en
24	su
25	día
26	impuso
27	a
28	Javier
29	de
30	la
31	Rosa
32	para
33	recuperar
34	su
35	libertad
36	y
37	salir
38	de
39	la
40	prisión
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Precisamente	ADV	5	advmod
2	,	PUNCT	1	punct
3	la	DET	4	det
4	juez	NOUN	5	nsubj
5	ordena	VERB	0	root
6	la	DET	7	det
7	práctica	NOUN	5	obj
8	de	ADP	10	case
9	esta	DET	10	det
10	investigación	NOUN	7	nmod
11	en	ADP	14	case
12	la	DET	14	det
13	misma	DET	12	det
14	resolución	NOUN	5	obl
15	por	ADP	17	case
16	la	DET	17	det
17	que	PRON	19	obl
18	se	PRON	19	expl:pass
19	rebaja	VERB	14	acl
20	la	DET	21	det
21	fianza	NOUN	19	nsubj
22	que	PRON	26	obj
23	en	ADP	25	case
24	su	DET	25	det
25	día	NOUN	26	obl
26	impuso	VERB	21	acl
27	a	ADP	28	case
28	Javier	PROPN	26	obj
29	de	ADP	31	case
30	la	DET	31	det
31	Rosa	PROPN	28	flat
32	para	ADP	33	mark
33	recuperar	VERB	26	advcl
34	su	DET	35	det
35	libertad	NOUN	33	obj
36	y	CCONJ	37	cc
37	salir	VERB	33	conj
38	de	ADP	40	case
39	la	DET	40	det
40	prisión	NOUN	37	obl
41	.	PUNCT	5	punct