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 estudio se llevó a cabo entre 50 pacientes con problemas de disfunción eréctil que ya habían sido sometidos o se encontraban realizando otros tratamientos.
Postion	Tokenization
1	El
2	estudio
3	se
4	llevó
5	a
6	cabo
7	entre
8	50
9	pacientes
10	con
11	problemas
12	de
13	disfunción
14	eréctil
15	que
16	ya
17	habían
18	sido
19	sometidos
20	o
21	se
22	encontraban
23	realizando
24	otros
25	tratamientos
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	estudio	NOUN	4	nsubj
3	se	PRON	4	expl:pass
4	llevó	VERB	0	root
5	a	ADP	6	case
6	cabo	NOUN	4	compound
7	entre	ADP	9	case
8	50	NUM	9	nummod
9	pacientes	NOUN	4	obl
10	con	ADP	11	case
11	problemas	NOUN	9	nmod
12	de	ADP	13	case
13	disfunción	NOUN	11	nmod
14	eréctil	ADJ	13	amod
15	que	PRON	19	nsubj
16	ya	ADV	19	advmod
17	habían	AUX	19	aux
18	sido	AUX	19	aux
19	sometidos	VERB	9	acl
20	o	CCONJ	22	cc
21	se	PRON	22	expl:pv
22	encontraban	VERB	19	conj
23	realizando	VERB	22	advcl
24	otros	DET	25	det
25	tratamientos	NOUN	23	obj
26	.	PUNCT	4	punct