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:
Las expectativas no se centran en si aumentará los tipos de interés, sino en cuánto los incrementará para enfriar una economía repleta de indicadores positivos.
Postion	Tokenization
1	Las
2	expectativas
3	no
4	se
5	centran
6	en
7	si
8	aumentará
9	los
10	tipos
11	de
12	interés
13	,
14	sino
15	en
16	cuánto
17	los
18	incrementará
19	para
20	enfriar
21	una
22	economía
23	repleta
24	de
25	indicadores
26	positivos
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	expectativas	NOUN	5	nsubj
3	no	ADV	5	advmod
4	se	PRON	5	expl:pass
5	centran	VERB	0	root
6	en	ADP	8	mark
7	si	SCONJ	8	mark
8	aumentará	VERB	5	ccomp
9	los	DET	10	det
10	tipos	NOUN	8	obj
11	de	ADP	12	case
12	interés	NOUN	10	nmod
13	,	PUNCT	8	punct
14	sino	CCONJ	18	cc
15	en	ADP	18	mark
16	cuánto	PRON	18	obl
17	los	PRON	18	obj
18	incrementará	VERB	8	conj
19	para	ADP	20	mark
20	enfriar	VERB	18	advcl
21	una	DET	22	det
22	economía	NOUN	20	obj
23	repleta	ADJ	22	amod
24	de	ADP	25	case
25	indicadores	NOUN	23	nmod
26	positivos	ADJ	25	amod
27	.	PUNCT	5	punct