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 internamiento en régimen cerrado empezará en el centro educativo La Zarza, en el municipio murciano de Abanilla, donde se encontraba ingresado actualmente.
Postion	Tokenization
1	El
2	internamiento
3	en
4	régimen
5	cerrado
6	empezará
7	en
8	el
9	centro
10	educativo
11	La
12	Zarza
13	,
14	en
15	el
16	municipio
17	murciano
18	de
19	Abanilla
20	,
21	donde
22	se
23	encontraba
24	ingresado
25	actualmente
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	internamiento	NOUN	6	nsubj
3	en	ADP	4	case
4	régimen	NOUN	2	nmod
5	cerrado	ADJ	4	amod
6	empezará	VERB	0	root
7	en	ADP	9	case
8	el	DET	9	det
9	centro	NOUN	6	obl
10	educativo	ADJ	9	amod
11	La	DET	12	det
12	Zarza	PROPN	9	appos
13	,	PUNCT	16	punct
14	en	ADP	16	case
15	el	DET	16	det
16	municipio	NOUN	9	nmod
17	murciano	ADJ	16	amod
18	de	ADP	19	case
19	Abanilla	PROPN	16	nmod
20	,	PUNCT	23	punct
21	donde	PRON	23	obl
22	se	PRON	23	expl:pv
23	encontraba	VERB	9	acl
24	ingresado	ADJ	23	obj
25	actualmente	ADV	23	advmod
26	.	PUNCT	6	punct