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:
En cuanto a las masas patrimoniales de negocio del grupo Caja Cantabria, los recursos de clientes a final de 1999 ascendieron a 390.195 millones de pesetas y los intermediados netos a 427.381.
Postion	Tokenization
1	En
2	cuanto
3	a
4	las
5	masas
6	patrimoniales
7	de
8	negocio
9	del
10	grupo
11	Caja
12	Cantabria
13	,
14	los
15	recursos
16	de
17	clientes
18	a
19	final
20	de
21	1999
22	ascendieron
23	a
24	390.195
25	millones
26	de
27	pesetas
28	y
29	los
30	intermediados
31	netos
32	a
33	427.381
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	case
2	cuanto	NOUN	1	fixed
3	a	ADP	1	fixed
4	las	DET	5	det
5	masas	NOUN	22	obl
6	patrimoniales	ADJ	5	amod
7	de	ADP	8	case
8	negocio	NOUN	5	nmod
9	del	ADP	10	case
10	grupo	NOUN	5	nmod
11	Caja	PROPN	10	appos
12	Cantabria	PROPN	11	flat
13	,	PUNCT	5	punct
14	los	DET	15	det
15	recursos	NOUN	22	nsubj
16	de	ADP	17	case
17	clientes	NOUN	15	nmod
18	a	ADP	19	case
19	final	NOUN	22	obl
20	de	ADP	21	case
21	1999	NOUN	19	nmod
22	ascendieron	VERB	0	root
23	a	ADP	25	case
24	390.195	NUM	25	nummod
25	millones	NOUN	22	obl
26	de	ADP	27	case
27	pesetas	NOUN	25	nmod
28	y	CCONJ	30	cc
29	los	DET	30	det
30	intermediados	ADJ	22	conj
31	netos	ADJ	30	amod
32	a	ADP	33	case
33	427.381	NUM	30	nummod
34	.	PUNCT	22	punct