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:
A juicio de Hernando, es necesario seguir avanzando en la reforma laboral a fin de crear más empleo, rebajar la tasa de temporalidad y combatir la siniestralidad en el trabajo.
Postion	Tokenization
1	A
2	juicio
3	de
4	Hernando
5	,
6	es
7	necesario
8	seguir
9	avanzando
10	en
11	la
12	reforma
13	laboral
14	a
15	fin
16	de
17	crear
18	más
19	empleo
20	,
21	rebajar
22	la
23	tasa
24	de
25	temporalidad
26	y
27	combatir
28	la
29	siniestralidad
30	en
31	el
32	trabajo
33	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	2	case
2	juicio	NOUN	7	obl
3	de	ADP	4	case
4	Hernando	PROPN	2	nmod
5	,	PUNCT	2	punct
6	es	AUX	7	cop
7	necesario	ADJ	0	root
8	seguir	VERB	7	csubj
9	avanzando	VERB	8	xcomp
10	en	ADP	12	case
11	la	DET	12	det
12	reforma	NOUN	8	obl
13	laboral	ADJ	12	amod
14	a	ADP	17	mark
15	fin	NOUN	14	fixed
16	de	ADP	14	fixed
17	crear	VERB	9	advcl
18	más	ADV	19	advmod
19	empleo	NOUN	17	obj
20	,	PUNCT	21	punct
21	rebajar	VERB	17	advcl
22	la	DET	23	det
23	tasa	NOUN	21	obj
24	de	ADP	25	case
25	temporalidad	NOUN	23	nmod
26	y	CCONJ	27	cc
27	combatir	VERB	17	conj
28	la	DET	29	det
29	siniestralidad	NOUN	27	obj
30	en	ADP	32	case
31	el	DET	32	det
32	trabajo	NOUN	29	nmod
33	.	PUNCT	7	punct