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 fiscal añadía que su país no se dará por satisfecho hasta que se castigue a los responsables y se devuelva el dinero supuestamente defraudado.
Postion	Tokenization
1	El
2	fiscal
3	añadía
4	que
5	su
6	país
7	no
8	se
9	dará
10	por
11	satisfecho
12	hasta
13	que
14	se
15	castigue
16	a
17	los
18	responsables
19	y
20	se
21	devuelva
22	el
23	dinero
24	supuestamente
25	defraudado
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	fiscal	NOUN	3	nsubj
3	añadía	VERB	0	root
4	que	SCONJ	9	mark
5	su	DET	6	det
6	país	NOUN	9	nsubj
7	no	ADV	9	advmod
8	se	PRON	9	expl:pv
9	dará	VERB	3	ccomp
10	por	ADP	9	obj
11	satisfecho	ADJ	10	advmod
12	hasta	ADP	15	mark
13	que	SCONJ	15	mark
14	se	PRON	15	expl:impers
15	castigue	VERB	9	advcl
16	a	ADP	18	case
17	los	DET	18	det
18	responsables	NOUN	15	obj
19	y	CCONJ	21	cc
20	se	PRON	21	expl:pass
21	devuelva	VERB	15	conj
22	el	DET	23	det
23	dinero	NOUN	21	nsubj
24	supuestamente	ADV	25	advmod
25	defraudado	ADJ	23	amod
26	.	PUNCT	3	punct