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:
Certes la France peut se consoler avec les piètres performances de son voisin italien, une des lanternes noires de l'Europe sur le classement du Wef (74e).
Postion	Tokenization
1	Certes
2	la
3	France
4	peut
5	se
6	consoler
7	avec
8	les
9	piètres
10	performances
11	de
12	son
13	voisin
14	italien
15	,
16	une
17	des
18	de
19	les
20	lanternes
21	noires
22	de
23	l'
24	Europe
25	sur
26	le
27	classement
28	du
29	de
30	le
31	Wef
32	(
33	74e
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Certes	ADV	4	advmod
2	la	DET	3	det
3	France	PROPN	4	nsubj
4	peut	VERB	0	root
5	se	PRON	6	obj
6	consoler	VERB	4	xcomp:obj
7	avec	ADP	10	case
8	les	DET	10	det
9	piètres	ADJ	10	amod
10	performances	NOUN	6	obl:mod
11	de	ADP	13	case
12	son	DET	13	det
13	voisin	NOUN	10	nmod
14	italien	ADJ	13	amod
15	,	PUNCT	16	punct
16	une	PRON	13	appos
17	des	_	None	_
18	de	ADP	19	case
19	les	DET	19	det
20	lanternes	NOUN	16	nmod
21	noires	ADJ	19	amod
22	de	ADP	23	case
23	l'	DET	23	det
24	Europe	PROPN	19	nmod
25	sur	ADP	26	case
26	le	DET	26	det
27	classement	NOUN	19	nmod
28	du	_	None	_
29	de	ADP	29	case
30	le	DET	29	det
31	Wef	PROPN	26	nmod
32	(	PUNCT	31	punct
33	74e	ADJ	16	parataxis
34	)	PUNCT	31	punct
35	.	PUNCT	4	punct