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:
Le ministre Asselborn a surtout souligné l'importance du prochain Conseil européen qui aura lieu le 23 octobre à Bruxelles et se concentrera sur la gouvernance économique dans l'UE
Postion	Tokenization
1	Le
2	ministre
3	Asselborn
4	a
5	surtout
6	souligné
7	l'
8	importance
9	du
10	de
11	le
12	prochain
13	Conseil
14	européen
15	qui
16	aura
17	lieu
18	le
19	23
20	octobre
21	à
22	Bruxelles
23	et
24	se
25	concentrera
26	sur
27	la
28	gouvernance
29	économique
30	dans
31	l'
32	UE
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	ministre	NOUN	6	nsubj
3	Asselborn	PROPN	2	appos
4	a	AUX	6	aux:tense
5	surtout	ADV	6	advmod
6	souligné	VERB	0	root
7	l'	DET	8	det
8	importance	NOUN	6	obj
9	du	_	None	_
10	de	ADP	12	case
11	le	DET	12	det
12	prochain	ADJ	12	amod
13	Conseil	NOUN	8	nmod
14	européen	ADJ	12	amod
15	qui	PRON	15	nsubj
16	aura	VERB	12	acl:relcl
17	lieu	NOUN	15	obj:lvc
18	le	DET	18	det
19	23	NUM	15	obl:mod
20	octobre	NOUN	18	nmod
21	à	ADP	21	case
22	Bruxelles	PROPN	15	obl:arg
23	et	CCONJ	24	cc
24	se	PRON	24	obj
25	concentrera	VERB	15	conj
26	sur	ADP	27	case
27	la	DET	27	det
28	gouvernance	NOUN	24	obl:mod
29	économique	ADJ	27	amod
30	dans	ADP	31	case
31	l'	DET	31	det
32	UE	PROPN	27	nmod