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:
Caja Cantabria ha puesto en marcha un plan de ajuste para fortalecer su situación financiera y solvencia, tras haber registrado en 1999 un descenso en sus beneficios brutos del 35 por ciento, hasta los 4.716 millones de pesetas, informó hoy su director general, Javier Eraso.
Postion	Tokenization
1	Caja
2	Cantabria
3	ha
4	puesto
5	en
6	marcha
7	un
8	plan
9	de
10	ajuste
11	para
12	fortalecer
13	su
14	situación
15	financiera
16	y
17	solvencia
18	,
19	tras
20	haber
21	registrado
22	en
23	1999
24	un
25	descenso
26	en
27	sus
28	beneficios
29	brutos
30	del
31	35
32	por
33	ciento
34	,
35	hasta
36	los
37	4.716
38	millones
39	de
40	pesetas
41	,
42	informó
43	hoy
44	su
45	director
46	general
47	,
48	Javier
49	Eraso
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Caja	PROPN	4	nsubj
2	Cantabria	PROPN	1	flat
3	ha	AUX	4	aux
4	puesto	VERB	42	ccomp
5	en	ADP	6	case
6	marcha	NOUN	4	compound
7	un	DET	8	det
8	plan	NOUN	4	obj
9	de	ADP	10	case
10	ajuste	NOUN	8	nmod
11	para	ADP	12	mark
12	fortalecer	VERB	8	acl
13	su	DET	14	det
14	situación	NOUN	12	obj
15	financiera	ADJ	14	amod
16	y	CCONJ	17	cc
17	solvencia	NOUN	14	conj
18	,	PUNCT	21	punct
19	tras	ADP	21	mark
20	haber	AUX	21	aux
21	registrado	VERB	12	advcl
22	en	ADP	23	case
23	1999	NOUN	21	obl
24	un	DET	25	det
25	descenso	NOUN	21	obj
26	en	ADP	28	case
27	sus	DET	28	det
28	beneficios	NOUN	25	nmod
29	brutos	ADJ	28	amod
30	del	ADP	31	case
31	35	NUM	25	nummod
32	por	ADP	33	case
33	ciento	NUM	31	compound
34	,	PUNCT	38	punct
35	hasta	ADP	38	case
36	los	DET	37	det
37	4.716	NUM	38	nummod
38	millones	NOUN	25	nmod
39	de	ADP	40	case
40	pesetas	NOUN	38	nmod
41	,	PUNCT	4	punct
42	informó	VERB	0	root
43	hoy	ADV	42	advmod
44	su	DET	45	det
45	director	NOUN	42	nsubj
46	general	ADJ	45	amod
47	,	PUNCT	48	punct
48	Javier	PROPN	45	appos
49	Eraso	PROPN	48	flat
50	.	PUNCT	42	punct