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:
"¿Por qué desafortunadamente? - - se preguntó Fischer - - Pues porque si lo hubieran llevado a cabo hace tres semanas, esta crisis podría haberse evitado".
Postion	Tokenization
1	"
2	¿
3	Por
4	qué
5	desafortunadamente
6	?
7	-
8	-
9	se
10	preguntó
11	Fischer
12	-
13	-
14	Pues
15	porque
16	si
17	lo
18	hubieran
19	llevado
20	a
21	cabo
22	hace
23	tres
24	semanas
25	,
26	esta
27	crisis
28	podría
29	haberse
30	haber
31	se
32	evitado
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	¿	PUNCT	4	punct
3	Por	ADP	4	case
4	qué	PRON	0	root
5	desafortunadamente	ADV	4	advmod
6	?	PUNCT	4	punct
7	-	PUNCT	10	punct
8	-	PUNCT	10	punct
9	se	PRON	10	iobj
10	preguntó	VERB	4	parataxis
11	Fischer	PROPN	10	nsubj
12	-	PUNCT	10	punct
13	-	PUNCT	10	punct
14	Pues	SCONJ	31	mark
15	porque	SCONJ	31	mark
16	si	SCONJ	19	mark
17	lo	PRON	19	obj
18	hubieran	AUX	19	aux
19	llevado	VERB	31	advcl
20	a	ADP	21	case
21	cabo	NOUN	19	compound
22	hace	VERB	19	advcl
23	tres	NUM	24	nummod
24	semanas	NOUN	22	obj
25	,	PUNCT	19	punct
26	esta	DET	27	det
27	crisis	NOUN	31	nsubj
28	podría	AUX	31	aux
29	haberse	_	None	_
30	haber	AUX	31	aux
31	se	PRON	31	expl:pass
32	evitado	VERB	4	acl
33	"	PUNCT	4	punct
34	.	PUNCT	4	punct