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:
S'agissant du risque de pénurie, le magistrat vert juge qu'il n'est pas dramatique dans le canton de Berne mais que cela pourrait s'aggraver.
Postion	Tokenization
1	S'
2	agissant
3	du
4	de
5	le
6	risque
7	de
8	pénurie
9	,
10	le
11	magistrat
12	vert
13	juge
14	qu'
15	il
16	n'
17	est
18	pas
19	dramatique
20	dans
21	le
22	canton
23	de
24	Berne
25	mais
26	que
27	cela
28	pourrait
29	s'
30	aggraver
31	.
Position	Tokenization	UPOS	Head	Deprel
1	S'	PRON	2	dep:comp
2	agissant	VERB	12	advcl
3	du	_	None	_
4	de	ADP	5	case
5	le	DET	5	det
6	risque	NOUN	2	obl:arg
7	de	ADP	7	case
8	pénurie	NOUN	5	nmod
9	,	PUNCT	2	punct
10	le	DET	10	det
11	magistrat	NOUN	12	nsubj
12	vert	ADJ	10	amod
13	juge	VERB	0	root
14	qu'	SCONJ	18	mark
15	il	PRON	18	nsubj
16	n'	ADV	18	advmod
17	est	AUX	18	cop
18	pas	ADV	18	advmod
19	dramatique	ADJ	12	ccomp:obj
20	dans	ADP	21	case
21	le	DET	21	det
22	canton	NOUN	18	obl:mod
23	de	ADP	23	case
24	Berne	PROPN	21	nmod
25	mais	CCONJ	27	cc
26	que	SCONJ	27	mark
27	cela	PRON	27	nsubj
28	pourrait	VERB	18	conj
29	s'	PRON	29	expl:pass
30	aggraver	VERB	27	xcomp:obj
31	.	PUNCT	12	punct