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:
Otro de los objetivos es evitar que se repitan los errores del pasado, que obligaron al Gobierno a comprar créditos dudosos por un valor de 60.000 millones de coronas (unos 1.500 millones de dólares).
Postion	Tokenization
1	Otro
2	de
3	los
4	objetivos
5	es
6	evitar
7	que
8	se
9	repitan
10	los
11	errores
12	del
13	pasado
14	,
15	que
16	obligaron
17	al
18	Gobierno
19	a
20	comprar
21	créditos
22	dudosos
23	por
24	un
25	valor
26	de
27	60.000
28	millones
29	de
30	coronas
31	(
32	unos
33	1.500
34	millones
35	de
36	dólares
37	)
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Otro	PRON	5	nsubj
2	de	ADP	4	case
3	los	DET	4	det
4	objetivos	NOUN	1	nmod
5	es	AUX	0	root
6	evitar	VERB	5	ccomp
7	que	SCONJ	9	mark
8	se	PRON	9	expl:pv
9	repitan	VERB	6	ccomp
10	los	DET	11	det
11	errores	NOUN	9	nsubj
12	del	ADP	13	case
13	pasado	NOUN	11	nmod
14	,	PUNCT	16	punct
15	que	PRON	16	nsubj
16	obligaron	VERB	11	acl
17	al	ADP	18	case
18	Gobierno	PROPN	16	iobj
19	a	ADP	20	mark
20	comprar	VERB	16	xcomp
21	créditos	NOUN	20	obj
22	dudosos	ADJ	21	amod
23	por	ADP	25	case
24	un	DET	25	det
25	valor	NOUN	21	nmod
26	de	ADP	28	case
27	60.000	NUM	28	nummod
28	millones	NOUN	25	nmod
29	de	ADP	30	case
30	coronas	NOUN	28	nmod
31	(	PUNCT	34	punct
32	unos	PRON	33	nmod
33	1.500	NUM	34	nummod
34	millones	NOUN	28	appos
35	de	ADP	36	case
36	dólares	NOUN	34	nmod
37	)	PUNCT	34	punct
38	.	PUNCT	5	punct