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:
Hace 15 días se acordó que Miquel Porter Moix sustituyera a Castellet, decisión que éste no aceptó y que trató de impedir forzando una nueva votación.
Postion	Tokenization
1	Hace
2	15
3	días
4	se
5	acordó
6	que
7	Miquel
8	Porter
9	Moix
10	sustituyera
11	a
12	Castellet
13	,
14	decisión
15	que
16	éste
17	no
18	aceptó
19	y
20	que
21	trató
22	de
23	impedir
24	forzando
25	una
26	nueva
27	votación
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Hace	VERB	5	advcl
2	15	NUM	3	nummod
3	días	NOUN	1	obj
4	se	PRON	5	expl:pass
5	acordó	VERB	0	root
6	que	SCONJ	10	mark
7	Miquel	PROPN	10	nsubj
8	Porter	PROPN	7	flat
9	Moix	PROPN	7	flat
10	sustituyera	VERB	5	csubj
11	a	ADP	12	case
12	Castellet	PROPN	10	obj
13	,	PUNCT	14	punct
14	decisión	NOUN	10	obl
15	que	PRON	18	obj
16	éste	PRON	18	nsubj
17	no	ADV	18	advmod
18	aceptó	VERB	14	acl
19	y	CCONJ	21	cc
20	que	PRON	21	iobj
21	trató	VERB	18	conj
22	de	ADP	23	mark
23	impedir	VERB	21	ccomp
24	forzando	VERB	23	xcomp
25	una	DET	27	det
26	nueva	ADJ	27	amod
27	votación	NOUN	24	obj
28	.	PUNCT	5	punct