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:
« Après la Grèce hier, l'Irlande aujourd'hui, le Portugal demain et l'Espagne après-demain, écrit-il, la France ne tardera pas à entrer, elle aussi, dans la crise de la dette publique.
Postion	Tokenization
1	«
2	Après
3	la
4	Grèce
5	hier
6	,
7	l'
8	Irlande
9	aujourd'hui
10	,
11	le
12	Portugal
13	demain
14	et
15	l'
16	Espagne
17	après-demain
18	,
19	écrit
20	-il
21	,
22	la
23	France
24	ne
25	tardera
26	pas
27	à
28	entrer
29	,
30	elle
31	aussi
32	,
33	dans
34	la
35	crise
36	de
37	la
38	dette
39	publique
40	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	4	punct
2	Après	ADP	4	case
3	la	DET	4	det
4	Grèce	PROPN	25	obl:mod
5	hier	ADV	4	advmod
6	,	PUNCT	8	punct
7	l'	DET	8	det
8	Irlande	PROPN	4	conj
9	aujourd'hui	ADV	8	advmod
10	,	PUNCT	12	punct
11	le	DET	12	det
12	Portugal	PROPN	4	conj
13	demain	ADV	12	advmod
14	et	CCONJ	16	cc
15	l'	DET	16	det
16	Espagne	PROPN	4	conj
17	après-demain	ADV	16	advmod
18	,	PUNCT	4	punct
19	écrit	VERB	25	parataxis
20	-il	PRON	19	nsubj
21	,	PUNCT	19	punct
22	la	DET	23	det
23	France	PROPN	25	nsubj
24	ne	ADV	25	advmod
25	tardera	VERB	0	root
26	pas	ADV	25	advmod
27	à	ADP	28	mark
28	entrer	VERB	25	xcomp:obl
29	,	PUNCT	30	punct
30	elle	PRON	28	obl:mod
31	aussi	ADV	30	advmod
32	,	PUNCT	35	punct
33	dans	ADP	35	case
34	la	DET	35	det
35	crise	NOUN	28	obl:arg
36	de	ADP	38	case
37	la	DET	38	det
38	dette	NOUN	35	nmod
39	publique	ADJ	38	amod
40	.	PUNCT	25	punct