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:
Más tarde se dio cuenta de que, aun sin articulaciones en las rodillas, la muñeca era útil como juguete, y se dedicó a extirpar cuidadosamente la pieza necesaria.
Postion	Tokenization
1	Más
2	tarde
3	se
4	dio
5	cuenta
6	de
7	que
8	,
9	aun
10	sin
11	articulaciones
12	en
13	las
14	rodillas
15	,
16	la
17	muñeca
18	era
19	útil
20	como
21	juguete
22	,
23	y
24	se
25	dedicó
26	a
27	extirpar
28	cuidadosamente
29	la
30	pieza
31	necesaria
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	2	advmod
2	tarde	ADV	4	advmod
3	se	PRON	4	expl:pv
4	dio	VERB	0	root
5	cuenta	NOUN	4	compound
6	de	ADP	19	mark
7	que	SCONJ	19	mark
8	,	PUNCT	9	punct
9	aun	ADV	19	advmod
10	sin	ADP	9	case
11	articulaciones	NOUN	9	nmod
12	en	ADP	14	case
13	las	DET	14	det
14	rodillas	NOUN	11	nmod
15	,	PUNCT	9	punct
16	la	DET	17	det
17	muñeca	NOUN	19	nsubj
18	era	AUX	19	cop
19	útil	ADJ	4	ccomp
20	como	SCONJ	21	mark
21	juguete	NOUN	19	nmod
22	,	PUNCT	25	punct
23	y	CCONJ	25	cc
24	se	PRON	25	expl:pv
25	dedicó	VERB	4	conj
26	a	ADP	27	mark
27	extirpar	VERB	25	xcomp
28	cuidadosamente	ADV	27	advmod
29	la	DET	30	det
30	pieza	NOUN	27	obj
31	necesaria	ADJ	30	amod
32	.	PUNCT	4	punct