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:
El detenido se refugiaba en parajes de alta montaña de la Cerdanya desde 1999, cuando se fugó de la cárcel de Ponent, en Lleida.
Postion	Tokenization
1	El
2	detenido
3	se
4	refugiaba
5	en
6	parajes
7	de
8	alta
9	montaña
10	de
11	la
12	Cerdanya
13	desde
14	1999
15	,
16	cuando
17	se
18	fugó
19	de
20	la
21	cárcel
22	de
23	Ponent
24	,
25	en
26	Lleida
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	detenido	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	refugiaba	VERB	0	root
5	en	ADP	6	case
6	parajes	NOUN	4	obl
7	de	ADP	9	case
8	alta	ADJ	9	amod
9	montaña	NOUN	6	nmod
10	de	ADP	12	case
11	la	DET	12	det
12	Cerdanya	PROPN	9	nmod
13	desde	ADP	14	case
14	1999	NOUN	4	obl
15	,	PUNCT	18	punct
16	cuando	PRON	18	obl
17	se	PRON	18	expl:pv
18	fugó	VERB	14	acl
19	de	ADP	21	case
20	la	DET	21	det
21	cárcel	NOUN	18	obl
22	de	ADP	23	case
23	Ponent	PROPN	21	nmod
24	,	PUNCT	26	punct
25	en	ADP	26	case
26	Lleida	PROPN	21	nmod
27	.	PUNCT	4	punct