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:
Aunque el ensayo clínico que se está llevando a cabo en el Hospital Nacional de Parapléjicos en 12 personas con lesiones medulares no terminará hasta mediados de noviembre, De Pinto adelantó que la impresión que tiene de sus resultados es "buenísima, porque solventará muchos problemas".
Postion	Tokenization
1	Aunque
2	el
3	ensayo
4	clínico
5	que
6	se
7	está
8	llevando
9	a
10	cabo
11	en
12	el
13	Hospital
14	Nacional
15	de
16	Parapléjicos
17	en
18	12
19	personas
20	con
21	lesiones
22	medulares
23	no
24	terminará
25	hasta
26	mediados
27	de
28	noviembre
29	,
30	De
31	Pinto
32	adelantó
33	que
34	la
35	impresión
36	que
37	tiene
38	de
39	sus
40	resultados
41	es
42	"
43	buenísima
44	,
45	porque
46	solventará
47	muchos
48	problemas
49	"
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Aunque	SCONJ	24	mark
2	el	DET	3	det
3	ensayo	NOUN	24	nsubj
4	clínico	ADJ	3	amod
5	que	PRON	8	nsubj
6	se	PRON	8	expl:pass
7	está	AUX	8	aux
8	llevando	VERB	3	acl
9	a	ADP	10	case
10	cabo	NOUN	8	compound
11	en	ADP	13	case
12	el	DET	13	det
13	Hospital	PROPN	8	obl
14	Nacional	PROPN	13	flat
15	de	ADP	16	case
16	Parapléjicos	PROPN	13	flat
17	en	ADP	19	case
18	12	NUM	19	nummod
19	personas	NOUN	3	nmod
20	con	ADP	21	case
21	lesiones	NOUN	19	nmod
22	medulares	ADJ	21	amod
23	no	ADV	24	advmod
24	terminará	VERB	32	advcl
25	hasta	ADP	28	case
26	mediados	NOUN	28	advmod
27	de	ADP	26	fixed
28	noviembre	NOUN	24	obl
29	,	PUNCT	24	punct
30	De	ADP	31	case
31	Pinto	PROPN	32	nsubj
32	adelantó	VERB	0	root
33	que	SCONJ	43	mark
34	la	DET	35	det
35	impresión	NOUN	43	nsubj
36	que	PRON	37	obj
37	tiene	VERB	35	acl
38	de	ADP	40	case
39	sus	DET	40	det
40	resultados	NOUN	37	obj
41	es	AUX	43	cop
42	"	PUNCT	43	punct
43	buenísima	ADJ	32	ccomp
44	,	PUNCT	46	punct
45	porque	SCONJ	46	mark
46	solventará	VERB	43	advcl
47	muchos	DET	48	det
48	problemas	NOUN	46	obj
49	"	PUNCT	43	punct
50	.	PUNCT	32	punct