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 último ejercicio económico no ha ido muy allá... Es probable que si hubiera sido un año brillante para Caja Cantabria yo, que llevo tres meses en el cargo, no estaría hoy aquí", explicó el director general en conferencia de prensa, al ser preguntado por las razones que explican un recorte de 2.585 millones en los beneficios.
Postion	Tokenization
1	"
2	El
3	último
4	ejercicio
5	económico
6	no
7	ha
8	ido
9	muy
10	allá
11	...
12	Es
13	probable
14	que
15	si
16	hubiera
17	sido
18	un
19	año
20	brillante
21	para
22	Caja
23	Cantabria
24	yo
25	,
26	que
27	llevo
28	tres
29	meses
30	en
31	el
32	cargo
33	,
34	no
35	estaría
36	hoy
37	aquí
38	"
39	,
40	explicó
41	el
42	director
43	general
44	en
45	conferencia
46	de
47	prensa
48	,
49	al
50	ser
51	preguntado
52	por
53	las
54	razones
55	que
56	explican
57	un
58	recorte
59	de
60	2.585
61	millones
62	en
63	los
64	beneficios
65	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	El	DET	4	det
3	último	ADJ	4	amod
4	ejercicio	NOUN	8	nsubj
5	económico	ADJ	4	amod
6	no	ADV	8	advmod
7	ha	AUX	8	aux
8	ido	VERB	40	ccomp
9	muy	ADV	10	advmod
10	allá	ADV	8	advmod
11	...	PUNCT	8	punct
12	Es	AUX	13	cop
13	probable	ADJ	8	advcl
14	que	SCONJ	35	mark
15	si	SCONJ	19	mark
16	hubiera	AUX	19	aux
17	sido	AUX	19	cop
18	un	DET	19	det
19	año	NOUN	35	advcl
20	brillante	ADJ	19	amod
21	para	ADP	22	case
22	Caja	PROPN	20	nmod
23	Cantabria	PROPN	22	flat
24	yo	PRON	35	nsubj
25	,	PUNCT	27	punct
26	que	PRON	27	nsubj
27	llevo	VERB	24	acl
28	tres	NUM	29	nummod
29	meses	NOUN	27	obl
30	en	ADP	32	case
31	el	DET	32	det
32	cargo	NOUN	27	obl
33	,	PUNCT	27	punct
34	no	ADV	35	advmod
35	estaría	VERB	13	csubj
36	hoy	ADV	35	advmod
37	aquí	ADV	35	advmod
38	"	PUNCT	8	punct
39	,	PUNCT	8	punct
40	explicó	VERB	0	root
41	el	DET	42	det
42	director	NOUN	40	nsubj
43	general	ADJ	42	amod
44	en	ADP	45	case
45	conferencia	NOUN	40	obl
46	de	ADP	47	case
47	prensa	NOUN	45	nmod
48	,	PUNCT	51	punct
49	al	ADP	51	mark
50	ser	AUX	51	aux
51	preguntado	VERB	40	advcl
52	por	ADP	54	case
53	las	DET	54	det
54	razones	NOUN	51	obj
55	que	PRON	56	nsubj
56	explican	VERB	54	acl
57	un	DET	58	det
58	recorte	NOUN	56	obj
59	de	ADP	61	case
60	2.585	NUM	61	nummod
61	millones	NOUN	58	nmod
62	en	ADP	64	case
63	los	DET	64	det
64	beneficios	NOUN	58	nmod
65	.	PUNCT	40	punct