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:
Microsoft, Telefónica Data y Bankinter, han desarrollado el programa "Conecta 2000" que consiste en una serie de iniciativas para comunicar a las empresas las ventajas y oportunidades de Internet.
Postion	Tokenization
1	Microsoft
2	,
3	Telefónica
4	Data
5	y
6	Bankinter
7	,
8	han
9	desarrollado
10	el
11	programa
12	"
13	Conecta
14	2000
15	"
16	que
17	consiste
18	en
19	una
20	serie
21	de
22	iniciativas
23	para
24	comunicar
25	a
26	las
27	empresas
28	las
29	ventajas
30	y
31	oportunidades
32	de
33	Internet
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Microsoft	PROPN	9	nsubj
2	,	PUNCT	3	punct
3	Telefónica	PROPN	1	conj
4	Data	PROPN	3	flat
5	y	CCONJ	6	cc
6	Bankinter	PROPN	1	conj
7	,	PUNCT	1	punct
8	han	AUX	9	aux
9	desarrollado	VERB	0	root
10	el	DET	11	det
11	programa	NOUN	9	obj
12	"	PUNCT	13	punct
13	Conecta	PROPN	11	appos
14	2000	NUM	13	nummod
15	"	PUNCT	13	punct
16	que	PRON	17	nsubj
17	consiste	VERB	11	acl
18	en	ADP	20	case
19	una	DET	20	det
20	serie	NOUN	17	obj
21	de	ADP	22	case
22	iniciativas	NOUN	20	nmod
23	para	ADP	24	mark
24	comunicar	VERB	22	acl
25	a	ADP	27	case
26	las	DET	27	det
27	empresas	NOUN	24	obj
28	las	DET	29	det
29	ventajas	NOUN	24	obj
30	y	CCONJ	31	cc
31	oportunidades	NOUN	29	conj
32	de	ADP	33	case
33	Internet	PROPN	29	nmod
34	.	PUNCT	9	punct