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 iniciativa se inició a finales de agosto sobre cuatro pacientes que sufren impotencia a causa de la diabetes, y sobre otros cuatro con disfunción eréctil por diferentes motivos.
Postion	Tokenization
1	La
2	iniciativa
3	se
4	inició
5	a
6	finales
7	de
8	agosto
9	sobre
10	cuatro
11	pacientes
12	que
13	sufren
14	impotencia
15	a
16	causa
17	de
18	la
19	diabetes
20	,
21	y
22	sobre
23	otros
24	cuatro
25	con
26	disfunción
27	eréctil
28	por
29	diferentes
30	motivos
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	iniciativa	NOUN	4	nsubj
3	se	PRON	4	expl:pass
4	inició	VERB	0	root
5	a	ADP	8	case
6	finales	NOUN	5	fixed
7	de	ADP	5	fixed
8	agosto	NOUN	4	obl
9	sobre	ADP	11	case
10	cuatro	NUM	11	nummod
11	pacientes	NOUN	4	obl
12	que	PRON	13	nsubj
13	sufren	VERB	11	acl
14	impotencia	NOUN	13	obj
15	a	ADP	19	case
16	causa	NOUN	15	fixed
17	de	ADP	15	fixed
18	la	DET	19	det
19	diabetes	NOUN	13	obl
20	,	PUNCT	24	punct
21	y	CCONJ	24	cc
22	sobre	ADP	24	case
23	otros	PRON	24	nmod
24	cuatro	NUM	11	conj
25	con	ADP	26	case
26	disfunción	NOUN	24	nmod
27	eréctil	ADJ	26	amod
28	por	ADP	30	case
29	diferentes	DET	30	det
30	motivos	NOUN	26	nmod
31	.	PUNCT	4	punct