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:
El magistrado ha resuelto modificar la resolución en la que ordenó la prisión provisional de Gil eludible bajo fianza de 125 millones de pesetas.
Postion	Tokenization
1	El
2	magistrado
3	ha
4	resuelto
5	modificar
6	la
7	resolución
8	en
9	la
10	que
11	ordenó
12	la
13	prisión
14	provisional
15	de
16	Gil
17	eludible
18	bajo
19	fianza
20	de
21	125
22	millones
23	de
24	pesetas
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	magistrado	NOUN	4	nsubj
3	ha	AUX	4	aux
4	resuelto	VERB	0	root
5	modificar	VERB	4	xcomp
6	la	DET	7	det
7	resolución	NOUN	5	obj
8	en	ADP	10	case
9	la	DET	10	det
10	que	PRON	11	obl
11	ordenó	VERB	7	acl
12	la	DET	13	det
13	prisión	NOUN	11	obj
14	provisional	ADJ	13	amod
15	de	ADP	16	case
16	Gil	PROPN	13	nmod
17	eludible	ADJ	13	amod
18	bajo	ADP	19	case
19	fianza	NOUN	17	nmod
20	de	ADP	22	case
21	125	NUM	22	nummod
22	millones	NOUN	19	nmod
23	de	ADP	24	case
24	pesetas	NOUN	22	nmod
25	.	PUNCT	4	punct