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:
"Para nosotros el coste energético es un 19% más elevado que el que soportan en Amberes, por ejemplo", precisó Bach.
Postion	Tokenization
1	"
2	Para
3	nosotros
4	el
5	coste
6	energético
7	es
8	un
9	19%
10	más
11	elevado
12	que
13	el
14	que
15	soportan
16	en
17	Amberes
18	,
19	por
20	ejemplo
21	"
22	,
23	precisó
24	Bach
25	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Para	ADP	3	case
3	nosotros	PRON	9	obl
4	el	DET	5	det
5	coste	NOUN	9	nsubj
6	energético	ADJ	5	amod
7	es	AUX	9	cop
8	un	DET	9	det
9	19%	SYM	23	ccomp
10	más	ADV	11	advmod
11	elevado	ADJ	9	advmod
12	que	SCONJ	15	mark
13	el	DET	15	det
14	que	PRON	15	obj
15	soportan	VERB	11	advcl
16	en	ADP	17	case
17	Amberes	PROPN	15	obl
18	,	PUNCT	19	punct
19	por	ADP	15	advmod
20	ejemplo	NOUN	19	fixed
21	"	PUNCT	9	punct
22	,	PUNCT	9	punct
23	precisó	VERB	0	root
24	Bach	PROPN	23	nsubj
25	.	PUNCT	23	punct