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:
Curcoy explicó a su regreso a Lleida que "lo más importante es la satisfacción que produce el reconocimiento del trabajo realizado, en un certamen al que se presentan más de un centenar de documentales de todo el planeta".
Postion	Tokenization
1	Curcoy
2	explicó
3	a
4	su
5	regreso
6	a
7	Lleida
8	que
9	"
10	lo
11	más
12	importante
13	es
14	la
15	satisfacción
16	que
17	produce
18	el
19	reconocimiento
20	del
21	trabajo
22	realizado
23	,
24	en
25	un
26	certamen
27	al
28	que
29	se
30	presentan
31	más
32	de
33	un
34	centenar
35	de
36	documentales
37	de
38	todo
39	el
40	planeta
41	"
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Curcoy	PROPN	2	nsubj
2	explicó	VERB	0	root
3	a	ADP	5	case
4	su	DET	5	det
5	regreso	NOUN	2	obl
6	a	ADP	7	case
7	Lleida	PROPN	5	nmod
8	que	SCONJ	15	mark
9	"	PUNCT	15	punct
10	lo	PRON	15	nsubj
11	más	ADV	12	advmod
12	importante	ADJ	10	amod
13	es	AUX	15	cop
14	la	DET	15	det
15	satisfacción	NOUN	2	ccomp
16	que	PRON	17	obj
17	produce	VERB	15	acl
18	el	DET	19	det
19	reconocimiento	NOUN	17	nsubj
20	del	ADP	21	case
21	trabajo	NOUN	19	nmod
22	realizado	ADJ	21	amod
23	,	PUNCT	26	punct
24	en	ADP	26	case
25	un	DET	26	det
26	certamen	NOUN	19	nmod
27	al	ADP	28	case
28	que	PRON	30	obl
29	se	PRON	30	obj
30	presentan	VERB	26	acl
31	más	ADV	33	advmod
32	de	ADP	33	case
33	un	DET	34	det
34	centenar	NOUN	30	nsubj
35	de	ADP	36	case
36	documentales	NOUN	34	nmod
37	de	ADP	40	case
38	todo	DET	39	det
39	el	DET	40	det
40	planeta	NOUN	36	nmod
41	"	PUNCT	15	punct
42	.	PUNCT	2	punct