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:
Explicó que la tecnología ADSL es la única que establece tarifa plana, aunque reconoció que no es "muy económica" y que su implantación en España es escasa.
Postion	Tokenization
1	Explicó
2	que
3	la
4	tecnología
5	ADSL
6	es
7	la
8	única
9	que
10	establece
11	tarifa
12	plana
13	,
14	aunque
15	reconoció
16	que
17	no
18	es
19	"
20	muy
21	económica
22	"
23	y
24	que
25	su
26	implantación
27	en
28	España
29	es
30	escasa
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Explicó	VERB	0	root
2	que	SCONJ	6	mark
3	la	DET	4	det
4	tecnología	NOUN	6	nsubj
5	ADSL	PROPN	4	nmod
6	es	AUX	1	ccomp
7	la	DET	10	det
8	única	ADJ	10	amod
9	que	PRON	10	nsubj
10	establece	VERB	6	ccomp
11	tarifa	NOUN	10	obj
12	plana	ADJ	11	amod
13	,	PUNCT	15	punct
14	aunque	SCONJ	15	mark
15	reconoció	VERB	1	advcl
16	que	SCONJ	21	mark
17	no	ADV	21	advmod
18	es	AUX	21	cop
19	"	PUNCT	21	punct
20	muy	ADV	21	advmod
21	económica	ADJ	15	ccomp
22	"	PUNCT	21	punct
23	y	CCONJ	30	cc
24	que	SCONJ	30	mark
25	su	DET	26	det
26	implantación	NOUN	30	nsubj
27	en	ADP	28	case
28	España	PROPN	26	nmod
29	es	AUX	30	cop
30	escasa	ADJ	21	conj
31	.	PUNCT	1	punct