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:
Si Moody's estime que leur note ne devrait pas baisser de plus d'un cran, la situation n'est pas la même pour la Société Générale, dont la dégradation pourrait atteindre deux crans.
Postion	Tokenization
1	Si
2	Moody's
3	estime
4	que
5	leur
6	note
7	ne
8	devrait
9	pas
10	baisser
11	de
12	plus
13	d'
14	un
15	cran
16	,
17	la
18	situation
19	n'
20	est
21	pas
22	la
23	même
24	pour
25	la
26	Société
27	Générale
28	,
29	dont
30	la
31	dégradation
32	pourrait
33	atteindre
34	deux
35	crans
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	3	mark
2	Moody's	X	3	nsubj
3	estime	VERB	23	advcl
4	que	SCONJ	8	mark
5	leur	DET	6	det
6	note	NOUN	8	nsubj
7	ne	ADV	8	advmod
8	devrait	VERB	3	ccomp:obj
9	pas	ADV	8	advmod
10	baisser	VERB	8	xcomp:obj
11	de	ADP	12	case
12	plus	ADV	10	obl:arg
13	d'	ADP	15	case
14	un	NUM	15	nummod
15	cran	NOUN	12	dep:comp
16	,	PUNCT	3	punct
17	la	DET	18	det
18	situation	NOUN	23	nsubj
19	n'	ADV	23	advmod
20	est	AUX	23	cop
21	pas	ADV	23	advmod
22	la	DET	23	det
23	même	ADJ	0	root
24	pour	ADP	26	case
25	la	DET	26	det
26	Société	PROPN	23	obl:mod
27	Générale	ADJ	26	amod
28	,	PUNCT	32	punct
29	dont	PRON	31	nmod
30	la	DET	31	det
31	dégradation	NOUN	32	nsubj
32	pourrait	VERB	26	acl:relcl
33	atteindre	VERB	32	xcomp:obj
34	deux	NUM	35	nummod
35	crans	NOUN	33	obj
36	.	PUNCT	23	punct