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:
También se incluyen en esa cantidad 67.700 millones que se destinan al extranjero, una de las partidas que más bajan respecto al año pasado (-11 %).
Postion	Tokenization
1	También
2	se
3	incluyen
4	en
5	esa
6	cantidad
7	67.700
8	millones
9	que
10	se
11	destinan
12	al
13	extranjero
14	,
15	una
16	de
17	las
18	partidas
19	que
20	más
21	bajan
22	respecto
23	al
24	año
25	pasado
26	(
27	-11
28	%
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	3	advmod
2	se	PRON	3	expl:pass
3	incluyen	VERB	0	root
4	en	ADP	6	case
5	esa	DET	6	det
6	cantidad	NOUN	3	obl
7	67.700	NUM	8	nummod
8	millones	NOUN	3	nsubj
9	que	PRON	11	nsubj
10	se	PRON	11	expl:pass
11	destinan	VERB	8	acl
12	al	ADP	13	case
13	extranjero	NOUN	11	obj
14	,	PUNCT	15	punct
15	una	PRON	13	appos
16	de	ADP	18	case
17	las	DET	18	det
18	partidas	NOUN	15	nmod
19	que	PRON	21	nsubj
20	más	ADV	21	advmod
21	bajan	VERB	18	acl
22	respecto	NOUN	24	case
23	al	ADP	22	fixed
24	año	NOUN	21	obl
25	pasado	ADJ	24	amod
26	(	PUNCT	27	punct
27	-11	NUM	21	obl
28	%	SYM	27	nmod
29	)	PUNCT	27	punct
30	.	PUNCT	3	punct