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:
Lucía Pinochet Hiriart negó ayer que su padre vaya a abandonar la urbanización Los Boldos, en Bucalemu, donde cumple el arresto domiciliario, para ser trasladado al Hospital Militar de Santiago.
Postion	Tokenization
1	Lucía
2	Pinochet
3	Hiriart
4	negó
5	ayer
6	que
7	su
8	padre
9	vaya
10	a
11	abandonar
12	la
13	urbanización
14	Los
15	Boldos
16	,
17	en
18	Bucalemu
19	,
20	donde
21	cumple
22	el
23	arresto
24	domiciliario
25	,
26	para
27	ser
28	trasladado
29	al
30	Hospital
31	Militar
32	de
33	Santiago
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Lucía	PROPN	4	nsubj
2	Pinochet	PROPN	1	flat
3	Hiriart	PROPN	1	flat
4	negó	VERB	0	root
5	ayer	ADV	4	advmod
6	que	SCONJ	11	mark
7	su	DET	8	det
8	padre	NOUN	11	nsubj
9	vaya	AUX	11	aux
10	a	ADP	11	mark
11	abandonar	VERB	4	xcomp
12	la	DET	13	det
13	urbanización	NOUN	11	obj
14	Los	DET	15	det
15	Boldos	PROPN	13	appos
16	,	PUNCT	18	punct
17	en	ADP	18	case
18	Bucalemu	PROPN	13	nmod
19	,	PUNCT	18	punct
20	donde	PRON	21	obl
21	cumple	VERB	13	acl
22	el	DET	23	det
23	arresto	NOUN	21	obj
24	domiciliario	ADJ	23	amod
25	,	PUNCT	28	punct
26	para	ADP	28	mark
27	ser	AUX	28	aux
28	trasladado	VERB	11	advcl
29	al	ADP	30	case
30	Hospital	PROPN	28	obl
31	Militar	PROPN	30	flat
32	de	ADP	33	case
33	Santiago	PROPN	30	flat
34	.	PUNCT	4	punct