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:
Les Grecs affirmaient que le cresson pouvait « redonner raison aux esprits dérangés » et atténuer les effets de l'ivresse.
Postion	Tokenization
1	Les
2	Grecs
3	affirmaient
4	que
5	le
6	cresson
7	pouvait
8	«
9	redonner
10	raison
11	aux
12	à
13	les
14	esprits
15	dérangés
16	»
17	et
18	atténuer
19	les
20	effets
21	de
22	l'
23	ivresse
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	Grecs	PROPN	3	nsubj
3	affirmaient	VERB	0	root
4	que	SCONJ	7	mark
5	le	DET	6	det
6	cresson	NOUN	7	nsubj
7	pouvait	VERB	3	ccomp:obj
8	«	PUNCT	9	punct
9	redonner	VERB	7	xcomp:obj
10	raison	NOUN	9	obj
11	aux	_	None	_
12	à	ADP	13	case
13	les	DET	13	det
14	esprits	NOUN	9	obl:arg
15	dérangés	ADJ	13	amod
16	»	PUNCT	9	punct
17	et	CCONJ	17	cc
18	atténuer	VERB	9	conj
19	les	DET	19	det
20	effets	NOUN	17	obj
21	de	ADP	22	case
22	l'	DET	22	det
23	ivresse	NOUN	19	nmod
24	.	PUNCT	3	punct