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:
Conforme a los datos recogidos en la memoria del ejercicio, los recursos autogenerados por Caja Cantabria, o `cash flow, fueron 9.352 millones de pesetas y el resultado neto de la entidad una vez descontados los impuestos fue de 3.490 millones de pesetas.
Postion	Tokenization
1	Conforme
2	a
3	los
4	datos
5	recogidos
6	en
7	la
8	memoria
9	del
10	ejercicio
11	,
12	los
13	recursos
14	autogenerados
15	por
16	Caja
17	Cantabria
18	,
19	o
20	`cash
21	flow
22	,
23	fueron
24	9.352
25	millones
26	de
27	pesetas
28	y
29	el
30	resultado
31	neto
32	de
33	la
34	entidad
35	una
36	vez
37	descontados
38	los
39	impuestos
40	fue
41	de
42	3.490
43	millones
44	de
45	pesetas
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Conforme	NOUN	4	case
2	a	ADP	1	fixed
3	los	DET	4	det
4	datos	NOUN	23	obl
5	recogidos	ADJ	4	amod
6	en	ADP	8	case
7	la	DET	8	det
8	memoria	NOUN	5	obl
9	del	ADP	10	case
10	ejercicio	NOUN	8	nmod
11	,	PUNCT	4	punct
12	los	DET	13	det
13	recursos	NOUN	23	nsubj
14	autogenerados	ADJ	13	amod
15	por	ADP	16	case
16	Caja	PROPN	14	obj
17	Cantabria	PROPN	16	flat
18	,	PUNCT	20	punct
19	o	CCONJ	20	cc
20	`cash	NOUN	13	conj
21	flow	NOUN	20	compound
22	,	PUNCT	13	punct
23	fueron	VERB	0	root
24	9.352	NUM	25	nummod
25	millones	NOUN	23	xcomp
26	de	ADP	27	case
27	pesetas	NOUN	25	nmod
28	y	CCONJ	43	cc
29	el	DET	30	det
30	resultado	NOUN	43	nsubj
31	neto	ADJ	30	amod
32	de	ADP	34	case
33	la	DET	34	det
34	entidad	NOUN	30	nmod
35	una	DET	36	det
36	vez	NOUN	37	obl
37	descontados	VERB	43	advcl
38	los	DET	39	det
39	impuestos	NOUN	37	nsubj
40	fue	AUX	43	cop
41	de	ADP	43	case
42	3.490	NUM	43	nummod
43	millones	NOUN	25	conj
44	de	ADP	45	case
45	pesetas	NOUN	43	nmod
46	.	PUNCT	23	punct