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 centro médico de la Universidad Duke de Carolina del Norte (EEUU) ha llegado a la conclusión de que las articulaciones de Barbie, fabricada por la casa Mattel en California, pueden utilizarse como nudillos para dedos artificiales.
Postion	Tokenization
1	El
2	centro
3	médico
4	de
5	la
6	Universidad
7	Duke
8	de
9	Carolina
10	del
11	Norte
12	(
13	EEUU
14	)
15	ha
16	llegado
17	a
18	la
19	conclusión
20	de
21	que
22	las
23	articulaciones
24	de
25	Barbie
26	,
27	fabricada
28	por
29	la
30	casa
31	Mattel
32	en
33	California
34	,
35	pueden
36	utilizarse
37	utilizar
38	se
39	como
40	nudillos
41	para
42	dedos
43	artificiales
44	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	centro	NOUN	16	nsubj
3	médico	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	Universidad	PROPN	2	nmod
7	Duke	PROPN	6	flat
8	de	ADP	9	case
9	Carolina	PROPN	6	flat
10	del	ADP	11	case
11	Norte	PROPN	6	flat
12	(	PUNCT	13	punct
13	EEUU	PROPN	6	flat
14	)	PUNCT	13	punct
15	ha	AUX	16	aux
16	llegado	VERB	0	root
17	a	ADP	19	case
18	la	DET	19	det
19	conclusión	NOUN	16	obj
20	de	ADP	36	mark
21	que	SCONJ	36	mark
22	las	DET	23	det
23	articulaciones	NOUN	36	nsubj
24	de	ADP	25	case
25	Barbie	PROPN	23	nmod
26	,	PUNCT	27	punct
27	fabricada	ADJ	25	amod
28	por	ADP	30	case
29	la	DET	30	det
30	casa	NOUN	27	obj
31	Mattel	PROPN	30	appos
32	en	ADP	33	case
33	California	PROPN	27	obl
34	,	PUNCT	27	punct
35	pueden	AUX	36	aux
36	utilizarse	_	None	_
37	utilizar	VERB	19	acl
38	se	PRON	36	expl:pass
39	como	SCONJ	39	mark
40	nudillos	NOUN	36	obl
41	para	ADP	41	case
42	dedos	NOUN	39	nmod
43	artificiales	ADJ	41	amod
44	.	PUNCT	16	punct