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, en 1990 se apuntaba como objetivo llegar al 4% a finales de siglo y destinar el 1% del PIB a su financiación.
Postion	Tokenization
1	No
2	obstante
3	,
4	en
5	1990
6	se
7	apuntaba
8	como
9	objetivo
10	llegar
11	al
12	4%
13	a
14	finales
15	de
16	siglo
17	y
18	destinar
19	el
20	1%
21	del
22	PIB
23	a
24	su
25	financiación
26	.
Position	Tokenization	UPOS	Head	Deprel
1	No	PART	7	advmod
2	obstante	NOUN	1	fixed
3	,	PUNCT	1	punct
4	en	ADP	5	case
5	1990	NOUN	7	obl
6	se	PRON	7	expl:pass
7	apuntaba	VERB	0	root
8	como	SCONJ	9	mark
9	objetivo	NOUN	7	obl
10	llegar	VERB	7	xcomp
11	al	ADP	12	case
12	4%	SYM	10	obl
13	a	ADP	14	case
14	finales	NOUN	10	obl
15	de	ADP	16	case
16	siglo	NOUN	14	nmod
17	y	CCONJ	18	cc
18	destinar	VERB	10	conj
19	el	DET	20	det
20	1%	SYM	18	obj
21	del	ADP	22	case
22	PIB	PROPN	20	nmod
23	a	ADP	25	case
24	su	DET	25	det
25	financiación	NOUN	18	obj
26	.	PUNCT	7	punct