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:
Pero, por otra parte, ya ha anunciado que apelará cualquier dictamen que establezca su visión, lo cual prolongaría el proceso judicial muchos meses.
Postion	Tokenization
1	Pero
2	,
3	por
4	otra
5	parte
6	,
7	ya
8	ha
9	anunciado
10	que
11	apelará
12	cualquier
13	dictamen
14	que
15	establezca
16	su
17	visión
18	,
19	lo
20	cual
21	prolongaría
22	el
23	proceso
24	judicial
25	muchos
26	meses
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	9	advmod
2	,	PUNCT	5	punct
3	por	ADP	5	case
4	otra	DET	5	det
5	parte	NOUN	9	obl
6	,	PUNCT	5	punct
7	ya	ADV	9	advmod
8	ha	AUX	9	aux
9	anunciado	VERB	0	root
10	que	SCONJ	11	mark
11	apelará	VERB	9	ccomp
12	cualquier	DET	13	det
13	dictamen	NOUN	11	obj
14	que	PRON	15	nsubj
15	establezca	VERB	13	acl
16	su	DET	17	det
17	visión	NOUN	15	obj
18	,	PUNCT	21	punct
19	lo	PRON	21	det
20	cual	PRON	21	nsubj
21	prolongaría	VERB	11	advcl
22	el	DET	23	det
23	proceso	NOUN	21	obj
24	judicial	ADJ	23	amod
25	muchos	DET	26	det
26	meses	NOUN	21	obl
27	.	PUNCT	9	punct