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:
Si bien los conductores han pagado unos precios demasiado altos por el combustible, el Estado es el que más tiene que perder por los impuestos y, por tanto, es quien intenta recuperar lo perdido.
Postion	Tokenization
1	Si
2	bien
3	los
4	conductores
5	han
6	pagado
7	unos
8	precios
9	demasiado
10	altos
11	por
12	el
13	combustible
14	,
15	el
16	Estado
17	es
18	el
19	que
20	más
21	tiene
22	que
23	perder
24	por
25	los
26	impuestos
27	y
28	,
29	por
30	tanto
31	,
32	es
33	quien
34	intenta
35	recuperar
36	lo
37	perdido
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	6	mark
2	bien	ADV	1	fixed
3	los	DET	4	det
4	conductores	NOUN	6	nsubj
5	han	AUX	6	aux
6	pagado	VERB	17	advcl
7	unos	DET	8	det
8	precios	NOUN	6	obj
9	demasiado	ADV	10	advmod
10	altos	ADJ	8	amod
11	por	ADP	13	case
12	el	DET	13	det
13	combustible	NOUN	8	nmod
14	,	PUNCT	6	punct
15	el	DET	16	det
16	Estado	PROPN	17	nsubj
17	es	AUX	0	root
18	el	DET	21	det
19	que	PRON	21	nsubj
20	más	ADV	21	advmod
21	tiene	VERB	17	ccomp
22	que	SCONJ	23	mark
23	perder	VERB	21	advcl
24	por	ADP	26	case
25	los	DET	26	det
26	impuestos	NOUN	21	obl
27	y	CCONJ	32	cc
28	,	PUNCT	29	punct
29	por	ADP	32	advmod
30	tanto	NOUN	29	fixed
31	,	PUNCT	29	punct
32	es	AUX	17	conj
33	quien	PRON	34	nsubj
34	intenta	VERB	32	ccomp
35	recuperar	VERB	34	xcomp
36	lo	PRON	37	det
37	perdido	ADJ	35	obj
38	.	PUNCT	17	punct