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 revista especializada en temas científicos The Lancet cuestiona en su último número la forma en la que los médicos tratan las enfermedades de las figuras políticas prominentes, ocultándoles los diagnósticos, centrándose en el caso de Eva Perón.
Postion	Tokenization
1	La
2	revista
3	especializada
4	en
5	temas
6	científicos
7	The
8	Lancet
9	cuestiona
10	en
11	su
12	último
13	número
14	la
15	forma
16	en
17	la
18	que
19	los
20	médicos
21	tratan
22	las
23	enfermedades
24	de
25	las
26	figuras
27	políticas
28	prominentes
29	,
30	ocultándoles
31	ocultando
32	les
33	los
34	diagnósticos
35	,
36	centrándose
37	centrando
38	se
39	en
40	el
41	caso
42	de
43	Eva
44	Perón
45	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	revista	NOUN	9	nsubj
3	especializada	ADJ	2	amod
4	en	ADP	5	case
5	temas	NOUN	3	obj
6	científicos	ADJ	5	amod
7	The	PROPN	2	appos
8	Lancet	PROPN	7	flat
9	cuestiona	VERB	0	root
10	en	ADP	13	case
11	su	DET	13	det
12	último	ADJ	13	amod
13	número	NOUN	9	obl
14	la	DET	15	det
15	forma	NOUN	9	obj
16	en	ADP	18	case
17	la	DET	18	det
18	que	PRON	21	obl
19	los	DET	20	det
20	médicos	NOUN	21	nsubj
21	tratan	VERB	15	acl
22	las	DET	23	det
23	enfermedades	NOUN	21	obj
24	de	ADP	26	case
25	las	DET	26	det
26	figuras	NOUN	23	nmod
27	políticas	ADJ	26	amod
28	prominentes	ADJ	26	amod
29	,	PUNCT	30	punct
30	ocultándoles	_	None	_
31	ocultando	VERB	21	advcl
32	les	PRON	30	obj
33	los	DET	33	det
34	diagnósticos	NOUN	30	obj
35	,	PUNCT	35	punct
36	centrándose	_	None	_
37	centrando	VERB	9	advcl
38	se	PRON	35	expl:pv
39	en	ADP	39	case
40	el	DET	39	det
41	caso	NOUN	35	obj
42	de	ADP	41	case
43	Eva	PROPN	39	nmod
44	Perón	PROPN	41	flat
45	.	PUNCT	9	punct