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:
Ante la entrada de Terra en el selectivo, mañana será un día "curioso", según los analistas consultados por EFE, porque habrá oportunidad de adquirir a precios muy baratos muchos valores del Ibex-35.
Postion	Tokenization
1	Ante
2	la
3	entrada
4	de
5	Terra
6	en
7	el
8	selectivo
9	,
10	mañana
11	será
12	un
13	día
14	"
15	curioso
16	"
17	,
18	según
19	los
20	analistas
21	consultados
22	por
23	EFE
24	,
25	porque
26	habrá
27	oportunidad
28	de
29	adquirir
30	a
31	precios
32	muy
33	baratos
34	muchos
35	valores
36	del
37	Ibex-35
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Ante	ADP	3	case
2	la	DET	3	det
3	entrada	NOUN	10	obl
4	de	ADP	5	case
5	Terra	PROPN	3	nmod
6	en	ADP	8	case
7	el	DET	8	det
8	selectivo	NOUN	3	nmod
9	,	PUNCT	3	punct
10	mañana	ADV	0	root
11	será	AUX	10	cop
12	un	DET	13	det
13	día	NOUN	10	nsubj
14	"	PUNCT	15	punct
15	curioso	ADJ	13	amod
16	"	PUNCT	15	punct
17	,	PUNCT	20	punct
18	según	ADP	20	case
19	los	DET	20	det
20	analistas	NOUN	10	obl
21	consultados	ADJ	20	amod
22	por	ADP	23	case
23	EFE	PROPN	21	obj
24	,	PUNCT	20	punct
25	porque	SCONJ	26	mark
26	habrá	AUX	10	advcl
27	oportunidad	NOUN	26	obj
28	de	ADP	29	mark
29	adquirir	VERB	27	acl
30	a	ADP	31	case
31	precios	NOUN	29	obl
32	muy	ADV	33	advmod
33	baratos	ADJ	31	amod
34	muchos	DET	35	det
35	valores	NOUN	29	obj
36	del	ADP	37	case
37	Ibex-35	PROPN	35	nmod
38	.	PUNCT	10	punct