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:
El impuesto sobre hidrocarburos, que grava los carburantes, experimenta una actualización, lo que significa que sube igual que la inflación prevista en 1999, es decir, el 1,8%.
Postion	Tokenization
1	El
2	impuesto
3	sobre
4	hidrocarburos
5	,
6	que
7	grava
8	los
9	carburantes
10	,
11	experimenta
12	una
13	actualización
14	,
15	lo
16	que
17	significa
18	que
19	sube
20	igual
21	que
22	la
23	inflación
24	prevista
25	en
26	1999
27	,
28	es
29	decir
30	,
31	el
32	1,8%
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	impuesto	NOUN	11	nsubj
3	sobre	ADP	4	case
4	hidrocarburos	NOUN	2	nmod
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	grava	VERB	2	acl
8	los	DET	9	det
9	carburantes	NOUN	7	obj
10	,	PUNCT	7	punct
11	experimenta	VERB	0	root
12	una	DET	13	det
13	actualización	NOUN	11	obj
14	,	PUNCT	17	punct
15	lo	PRON	17	det
16	que	PRON	17	nsubj
17	significa	VERB	11	advcl
18	que	SCONJ	19	mark
19	sube	VERB	17	ccomp
20	igual	ADV	19	advmod
21	que	SCONJ	23	mark
22	la	DET	23	det
23	inflación	NOUN	20	obl
24	prevista	ADJ	23	amod
25	en	ADP	26	case
26	1999	NOUN	24	obl
27	,	PUNCT	32	punct
28	es	NOUN	32	cc
29	decir	NOUN	28	fixed
30	,	PUNCT	32	punct
31	el	DET	32	det
32	1,8%	SYM	23	dep
33	.	PUNCT	11	punct