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 Tribunal Europeo de Derechos Humanos acaba de refrendar que Dianne Pretty, víctima de una enfermedad degenerativa, no podrá suicidarse con la ayuda de su marido.
Postion	Tokenization
1	El
2	Tribunal
3	Europeo
4	de
5	Derechos
6	Humanos
7	acaba
8	de
9	refrendar
10	que
11	Dianne
12	Pretty
13	,
14	víctima
15	de
16	una
17	enfermedad
18	degenerativa
19	,
20	no
21	podrá
22	suicidarse
23	suicidar
24	se
25	con
26	la
27	ayuda
28	de
29	su
30	marido
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Tribunal	PROPN	7	nsubj
3	Europeo	PROPN	2	flat
4	de	ADP	5	case
5	Derechos	PROPN	2	flat
6	Humanos	PROPN	2	flat
7	acaba	VERB	0	root
8	de	ADP	9	mark
9	refrendar	VERB	7	xcomp
10	que	SCONJ	22	mark
11	Dianne	PROPN	22	nsubj
12	Pretty	PROPN	11	flat
13	,	PUNCT	14	punct
14	víctima	NOUN	11	appos
15	de	ADP	17	case
16	una	DET	17	det
17	enfermedad	NOUN	14	nmod
18	degenerativa	ADJ	17	amod
19	,	PUNCT	14	punct
20	no	ADV	22	advmod
21	podrá	AUX	22	aux
22	suicidarse	_	None	_
23	suicidar	VERB	9	ccomp
24	se	PRON	22	expl:pv
25	con	ADP	26	case
26	la	DET	26	det
27	ayuda	NOUN	22	obl
28	de	ADP	29	case
29	su	DET	29	det
30	marido	NOUN	26	nmod
31	.	PUNCT	7	punct