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:
No obstante, añadió que en el debate sobre los Presupuestos del Estado se estudiará si es posible bajar el impuesto sin perjudicar la consecución de ese objetivo.
Postion	Tokenization
1	No
2	obstante
3	,
4	añadió
5	que
6	en
7	el
8	debate
9	sobre
10	los
11	Presupuestos
12	del
13	Estado
14	se
15	estudiará
16	si
17	es
18	posible
19	bajar
20	el
21	impuesto
22	sin
23	perjudicar
24	la
25	consecución
26	de
27	ese
28	objetivo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	No	PART	4	advmod
2	obstante	NOUN	1	fixed
3	,	PUNCT	1	punct
4	añadió	VERB	0	root
5	que	SCONJ	15	mark
6	en	ADP	8	case
7	el	DET	8	det
8	debate	NOUN	15	obl
9	sobre	ADP	11	case
10	los	DET	11	det
11	Presupuestos	PROPN	8	nmod
12	del	ADP	13	case
13	Estado	PROPN	11	flat
14	se	PRON	15	expl:pass
15	estudiará	VERB	4	ccomp
16	si	SCONJ	18	mark
17	es	AUX	18	cop
18	posible	ADJ	15	csubj
19	bajar	VERB	18	csubj
20	el	DET	21	det
21	impuesto	NOUN	19	obj
22	sin	ADP	23	mark
23	perjudicar	VERB	19	advcl
24	la	DET	25	det
25	consecución	NOUN	23	obj
26	de	ADP	28	case
27	ese	DET	28	det
28	objetivo	NOUN	25	nmod
29	.	PUNCT	4	punct