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:
"Es más importante el presente y el trabajo en el campo que el futuro y lo que se hace en los despachos", explicó el técnico, que repitió tres veces esta expresión.
Postion	Tokenization
1	"
2	Es
3	más
4	importante
5	el
6	presente
7	y
8	el
9	trabajo
10	en
11	el
12	campo
13	que
14	el
15	futuro
16	y
17	lo
18	que
19	se
20	hace
21	en
22	los
23	despachos
24	"
25	,
26	explicó
27	el
28	técnico
29	,
30	que
31	repitió
32	tres
33	veces
34	esta
35	expresión
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Es	AUX	4	cop
3	más	ADV	4	advmod
4	importante	ADJ	26	ccomp
5	el	DET	6	det
6	presente	NOUN	4	nsubj
7	y	CCONJ	9	cc
8	el	DET	9	det
9	trabajo	NOUN	6	conj
10	en	ADP	12	case
11	el	DET	12	det
12	campo	NOUN	9	nmod
13	que	SCONJ	15	mark
14	el	DET	15	det
15	futuro	NOUN	4	obl
16	y	CCONJ	20	cc
17	lo	PRON	20	det
18	que	PRON	20	nsubj
19	se	PRON	20	expl:pass
20	hace	VERB	15	conj
21	en	ADP	23	case
22	los	DET	23	det
23	despachos	NOUN	20	obl
24	"	PUNCT	4	punct
25	,	PUNCT	4	punct
26	explicó	VERB	0	root
27	el	DET	28	det
28	técnico	NOUN	26	nsubj
29	,	PUNCT	31	punct
30	que	PRON	31	nsubj
31	repitió	VERB	28	acl
32	tres	NUM	33	nummod
33	veces	NOUN	31	obl
34	esta	DET	35	det
35	expresión	NOUN	31	obj
36	.	PUNCT	26	punct