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 administración de la Unión Europea (UE) tampoco ha demostrado hasta el momento, en este caso de los candidatos a especialistas médicos de facto, una excelente capacidad de previsión ni de resolución.
Postion	Tokenization
1	La
2	administración
3	de
4	la
5	Unión
6	Europea
7	(
8	UE
9	)
10	tampoco
11	ha
12	demostrado
13	hasta
14	el
15	momento
16	,
17	en
18	este
19	caso
20	de
21	los
22	candidatos
23	a
24	especialistas
25	médicos
26	de
27	facto
28	,
29	una
30	excelente
31	capacidad
32	de
33	previsión
34	ni
35	de
36	resolución
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	administración	NOUN	12	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Unión	PROPN	2	nmod
6	Europea	PROPN	5	flat
7	(	PUNCT	8	punct
8	UE	PROPN	5	flat
9	)	PUNCT	8	punct
10	tampoco	ADV	12	advmod
11	ha	AUX	12	aux
12	demostrado	VERB	0	root
13	hasta	ADP	15	case
14	el	DET	15	det
15	momento	NOUN	12	obl
16	,	PUNCT	19	punct
17	en	ADP	19	case
18	este	DET	19	det
19	caso	NOUN	12	obl
20	de	ADP	22	case
21	los	DET	22	det
22	candidatos	NOUN	19	nmod
23	a	ADP	24	case
24	especialistas	NOUN	22	nmod
25	médicos	ADJ	24	amod
26	de	ADP	24	advmod
27	facto	NOUN	26	fixed
28	,	PUNCT	19	punct
29	una	DET	31	det
30	excelente	ADJ	31	amod
31	capacidad	NOUN	12	obj
32	de	ADP	33	case
33	previsión	NOUN	31	nmod
34	ni	CCONJ	36	cc
35	de	ADP	36	case
36	resolución	NOUN	33	conj
37	.	PUNCT	12	punct