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 nuevo director general considera que Caja Cantabria debe volver a centrarse en su negocio tradicional, aunque también tiene previsto "sentar las bases" para entrar en el negocio de Internet.
Postion	Tokenization
1	El
2	nuevo
3	director
4	general
5	considera
6	que
7	Caja
8	Cantabria
9	debe
10	volver
11	a
12	centrarse
13	centrar
14	se
15	en
16	su
17	negocio
18	tradicional
19	,
20	aunque
21	también
22	tiene
23	previsto
24	"
25	sentar
26	las
27	bases
28	"
29	para
30	entrar
31	en
32	el
33	negocio
34	de
35	Internet
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	nuevo	ADJ	3	amod
3	director	NOUN	5	nsubj
4	general	ADJ	3	amod
5	considera	VERB	0	root
6	que	SCONJ	10	mark
7	Caja	PROPN	10	nsubj
8	Cantabria	PROPN	7	flat
9	debe	AUX	10	aux
10	volver	VERB	5	xcomp
11	a	ADP	12	mark
12	centrarse	_	None	_
13	centrar	VERB	10	xcomp
14	se	PRON	10	expl:pv
15	en	ADP	16	case
16	su	DET	16	det
17	negocio	NOUN	10	obj
18	tradicional	ADJ	16	amod
19	,	PUNCT	21	punct
20	aunque	SCONJ	21	mark
21	también	ADV	21	advmod
22	tiene	VERB	5	advcl
23	previsto	ADJ	21	iobj
24	"	PUNCT	24	punct
25	sentar	VERB	21	xcomp
26	las	DET	26	det
27	bases	NOUN	24	obj
28	"	PUNCT	24	punct
29	para	ADP	29	mark
30	entrar	VERB	21	advcl
31	en	ADP	32	case
32	el	DET	32	det
33	negocio	NOUN	29	obl
34	de	ADP	34	case
35	Internet	PROPN	32	nmod
36	.	PUNCT	5	punct