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:
Sin embargo, el pasado abril, el magistrado le restituyó como presidente y le devolvió la gestión del club bajo la vigilancia de dos interventores del Estado.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	el
5	pasado
6	abril
7	,
8	el
9	magistrado
10	le
11	restituyó
12	como
13	presidente
14	y
15	le
16	devolvió
17	la
18	gestión
19	del
20	club
21	bajo
22	la
23	vigilancia
24	de
25	dos
26	interventores
27	del
28	Estado
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	11	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	6	punct
4	el	DET	6	det
5	pasado	ADJ	6	amod
6	abril	NOUN	11	obl
7	,	PUNCT	6	punct
8	el	DET	9	det
9	magistrado	NOUN	11	nsubj
10	le	PRON	11	obj
11	restituyó	VERB	0	root
12	como	SCONJ	13	mark
13	presidente	NOUN	11	obj
14	y	CCONJ	16	cc
15	le	PRON	16	obj
16	devolvió	VERB	11	conj
17	la	DET	18	det
18	gestión	NOUN	16	obj
19	del	ADP	20	case
20	club	NOUN	18	nmod
21	bajo	ADP	23	case
22	la	DET	23	det
23	vigilancia	NOUN	16	obl
24	de	ADP	26	case
25	dos	NUM	26	nummod
26	interventores	NOUN	23	nmod
27	del	ADP	28	case
28	Estado	PROPN	26	nmod
29	.	PUNCT	11	punct