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 señor González - añadió - es consciente de que sabemos todos los detalles, incluidos los que él mismo ha hablado sobre sí mismo" EFE.
Postion	Tokenization
1	"
2	El
3	señor
4	González
5	-
6	añadió
7	-
8	es
9	consciente
10	de
11	que
12	sabemos
13	todos
14	los
15	detalles
16	,
17	incluidos
18	los
19	que
20	él
21	mismo
22	ha
23	hablado
24	sobre
25	sí
26	mismo
27	"
28	EFE
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	El	DET	4	det
3	señor	NOUN	9	nsubj
4	González	PROPN	3	flat
5	-	PUNCT	6	punct
6	añadió	VERB	9	parataxis
7	-	PUNCT	6	punct
8	es	AUX	9	cop
9	consciente	ADJ	0	root
10	de	ADP	12	mark
11	que	SCONJ	12	mark
12	sabemos	VERB	9	acl
13	todos	DET	14	det
14	los	DET	15	det
15	detalles	NOUN	12	obj
16	,	PUNCT	17	punct
17	incluidos	ADJ	15	amod
18	los	DET	23	det
19	que	PRON	23	nsubj
20	él	PRON	23	nsubj
21	mismo	ADJ	20	amod
22	ha	AUX	23	aux
23	hablado	VERB	17	csubj
24	sobre	ADP	25	case
25	sí	PRON	23	obl
26	mismo	DET	25	det
27	"	PUNCT	9	punct
28	EFE	PROPN	9	dep
29	.	PUNCT	9	punct