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 secretario de Estado para Asuntos Europeos admitió que en el último Consejo Europeo de Biarritz no se extrajeron conclusiones definitivas, pero que su resultado fue "plenamente satisfactorio".
Postion	Tokenization
1	El
2	secretario
3	de
4	Estado
5	para
6	Asuntos
7	Europeos
8	admitió
9	que
10	en
11	el
12	último
13	Consejo
14	Europeo
15	de
16	Biarritz
17	no
18	se
19	extrajeron
20	conclusiones
21	definitivas
22	,
23	pero
24	que
25	su
26	resultado
27	fue
28	"
29	plenamente
30	satisfactorio
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	8	nsubj
3	de	ADP	4	case
4	Estado	PROPN	2	nmod
5	para	ADP	6	case
6	Asuntos	PROPN	2	nmod
7	Europeos	PROPN	6	flat
8	admitió	VERB	0	root
9	que	SCONJ	19	mark
10	en	ADP	13	case
11	el	DET	13	det
12	último	ADJ	13	amod
13	Consejo	PROPN	19	obl
14	Europeo	PROPN	13	flat
15	de	ADP	16	case
16	Biarritz	PROPN	13	flat
17	no	ADV	19	advmod
18	se	PRON	19	expl:pass
19	extrajeron	VERB	8	ccomp
20	conclusiones	NOUN	19	nsubj
21	definitivas	ADJ	20	amod
22	,	PUNCT	30	punct
23	pero	CCONJ	30	cc
24	que	SCONJ	30	mark
25	su	DET	26	det
26	resultado	NOUN	30	nsubj
27	fue	AUX	30	cop
28	"	PUNCT	30	punct
29	plenamente	ADV	30	advmod
30	satisfactorio	ADJ	19	conj
31	"	PUNCT	30	punct
32	.	PUNCT	8	punct