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:
La próxima apuesta del Gobierno, reformar la negociación colectiva, puede ser el reactivo para recuperar la deseable unidad sindical.
Postion	Tokenization
1	La
2	próxima
3	apuesta
4	del
5	Gobierno
6	,
7	reformar
8	la
9	negociación
10	colectiva
11	,
12	puede
13	ser
14	el
15	reactivo
16	para
17	recuperar
18	la
19	deseable
20	unidad
21	sindical
22	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	próxima	ADJ	3	amod
3	apuesta	NOUN	15	nsubj
4	del	ADP	5	case
5	Gobierno	PROPN	3	nmod
6	,	PUNCT	7	punct
7	reformar	VERB	3	acl
8	la	DET	9	det
9	negociación	NOUN	7	obj
10	colectiva	ADJ	9	amod
11	,	PUNCT	7	punct
12	puede	AUX	15	aux
13	ser	AUX	15	cop
14	el	DET	15	det
15	reactivo	NOUN	0	root
16	para	ADP	17	mark
17	recuperar	VERB	15	acl
18	la	DET	20	det
19	deseable	ADJ	20	amod
20	unidad	NOUN	17	obj
21	sindical	ADJ	20	amod
22	.	PUNCT	15	punct