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:
La muñeca Barbie dejará su huella en la historia, no sólo por su longevidad como juguete, sino por la donación de su cuerpo a la ciencia para la fabricación de nudillos destinados a manos artificiales.
Postion	Tokenization
1	La
2	muñeca
3	Barbie
4	dejará
5	su
6	huella
7	en
8	la
9	historia
10	,
11	no
12	sólo
13	por
14	su
15	longevidad
16	como
17	juguete
18	,
19	sino
20	por
21	la
22	donación
23	de
24	su
25	cuerpo
26	a
27	la
28	ciencia
29	para
30	la
31	fabricación
32	de
33	nudillos
34	destinados
35	a
36	manos
37	artificiales
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	muñeca	NOUN	4	nsubj
3	Barbie	PROPN	2	appos
4	dejará	VERB	0	root
5	su	DET	6	det
6	huella	NOUN	4	obj
7	en	ADP	9	case
8	la	DET	9	det
9	historia	NOUN	4	obl
10	,	PUNCT	15	punct
11	no	PART	15	cc
12	sólo	ADV	11	fixed
13	por	ADP	15	case
14	su	DET	15	det
15	longevidad	NOUN	4	obl
16	como	SCONJ	17	mark
17	juguete	NOUN	15	nmod
18	,	PUNCT	22	punct
19	sino	CCONJ	22	cc
20	por	ADP	22	case
21	la	DET	22	det
22	donación	NOUN	15	conj
23	de	ADP	25	case
24	su	DET	25	det
25	cuerpo	NOUN	22	nmod
26	a	ADP	28	case
27	la	DET	28	det
28	ciencia	NOUN	22	nmod
29	para	ADP	31	case
30	la	DET	31	det
31	fabricación	NOUN	22	nmod
32	de	ADP	33	case
33	nudillos	NOUN	31	nmod
34	destinados	ADJ	33	amod
35	a	ADP	36	case
36	manos	NOUN	34	obj
37	artificiales	ADJ	36	amod
38	.	PUNCT	4	punct