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:
"Me metí en la cama no con una estatuilla, sino con una estatua de carne y hueso", remató para saciar la curiosidad de algún programa vespertino de televisión.
Postion	Tokenization
1	"
2	Me
3	metí
4	en
5	la
6	cama
7	no
8	con
9	una
10	estatuilla
11	,
12	sino
13	con
14	una
15	estatua
16	de
17	carne
18	y
19	hueso
20	"
21	,
22	remató
23	para
24	saciar
25	la
26	curiosidad
27	de
28	algún
29	programa
30	vespertino
31	de
32	televisión
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Me	PRON	3	obj
3	metí	VERB	22	ccomp
4	en	ADP	6	case
5	la	DET	6	det
6	cama	NOUN	3	obl
7	no	ADV	3	advmod
8	con	ADP	7	case
9	una	DET	10	det
10	estatuilla	NOUN	7	obl
11	,	PUNCT	15	punct
12	sino	CCONJ	15	cc
13	con	ADP	15	case
14	una	DET	15	det
15	estatua	NOUN	7	conj
16	de	ADP	17	case
17	carne	NOUN	15	nmod
18	y	CCONJ	19	cc
19	hueso	NOUN	17	conj
20	"	PUNCT	3	punct
21	,	PUNCT	3	punct
22	remató	VERB	0	root
23	para	ADP	24	mark
24	saciar	VERB	22	advcl
25	la	DET	26	det
26	curiosidad	NOUN	24	obj
27	de	ADP	29	case
28	algún	DET	29	det
29	programa	NOUN	26	nmod
30	vespertino	ADJ	29	amod
31	de	ADP	32	case
32	televisión	NOUN	29	nmod
33	.	PUNCT	22	punct