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:
Il est donc nécessaire d'être proactif et de prendre des mesures afin d'éviter une grave crise de l'eau dans la ville de Bergen.
Postion	Tokenization
1	Il
2	est
3	donc
4	nécessaire
5	d'
6	être
7	proactif
8	et
9	de
10	prendre
11	des
12	mesures
13	afin
14	d'
15	éviter
16	une
17	grave
18	crise
19	de
20	l'
21	eau
22	dans
23	la
24	ville
25	de
26	Bergen
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	expl:subj
2	est	AUX	4	cop
3	donc	ADV	4	advmod
4	nécessaire	ADJ	0	root
5	d'	ADP	7	mark
6	être	AUX	7	cop
7	proactif	ADJ	4	csubj
8	et	CCONJ	10	cc
9	de	ADP	10	mark
10	prendre	VERB	7	conj
11	des	DET	12	det
12	mesures	NOUN	10	obj
13	afin	ADV	4	advmod
14	d'	ADP	15	mark
15	éviter	VERB	13	ccomp:obj
16	une	DET	18	det
17	grave	ADJ	18	amod
18	crise	NOUN	15	obj
19	de	ADP	21	case
20	l'	DET	21	det
21	eau	NOUN	18	nmod
22	dans	ADP	24	case
23	la	DET	24	det
24	ville	NOUN	15	obl:mod
25	de	ADP	26	case
26	Bergen	PROPN	24	nmod
27	.	PUNCT	4	punct