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 mayor parte de lo que se ha hecho en el área fiscal se ha llevado a cabo en las dos últimas semanas, afortunadamente y desafortunadamente", dijo Fischer.
Postion	Tokenization
1	"
2	La
3	mayor
4	parte
5	de
6	lo
7	que
8	se
9	ha
10	hecho
11	en
12	el
13	área
14	fiscal
15	se
16	ha
17	llevado
18	a
19	cabo
20	en
21	las
22	dos
23	últimas
24	semanas
25	,
26	afortunadamente
27	y
28	desafortunadamente
29	"
30	,
31	dijo
32	Fischer
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	17	punct
2	La	DET	4	det
3	mayor	ADJ	4	amod
4	parte	NOUN	17	nsubj
5	de	ADP	10	mark
6	lo	PRON	10	det
7	que	PRON	10	nsubj
8	se	PRON	10	expl:pass
9	ha	AUX	10	aux
10	hecho	VERB	4	acl
11	en	ADP	13	case
12	el	DET	13	det
13	área	NOUN	10	obl
14	fiscal	ADJ	13	amod
15	se	PRON	17	expl:pass
16	ha	AUX	17	aux
17	llevado	VERB	31	ccomp
18	a	ADP	19	case
19	cabo	NOUN	17	compound
20	en	ADP	24	case
21	las	DET	24	det
22	dos	NUM	21	nummod
23	últimas	ADJ	24	amod
24	semanas	NOUN	17	obl
25	,	PUNCT	26	punct
26	afortunadamente	ADV	17	advmod
27	y	CCONJ	28	cc
28	desafortunadamente	ADV	26	conj
29	"	PUNCT	26	punct
30	,	PUNCT	17	punct
31	dijo	VERB	0	root
32	Fischer	PROPN	31	nsubj
33	.	PUNCT	31	punct