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:
" Pour la première fois depuis des mois, les élus du conseil municipal se sont exprimés sur la situation de l'industrie navale.
Postion	Tokenization
1	"
2	Pour
3	la
4	première
5	fois
6	depuis
7	des
8	mois
9	,
10	les
11	élus
12	du
13	de
14	le
15	conseil
16	municipal
17	se
18	sont
19	exprimés
20	sur
21	la
22	situation
23	de
24	l'
25	industrie
26	navale
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	18	punct
2	Pour	ADP	5	case
3	la	DET	5	det
4	première	ADJ	5	amod
5	fois	NOUN	18	obl:mod
6	depuis	ADP	8	case
7	des	DET	8	det
8	mois	NOUN	5	nmod
9	,	PUNCT	5	punct
10	les	DET	11	det
11	élus	NOUN	18	nsubj
12	du	_	None	_
13	de	ADP	14	case
14	le	DET	14	det
15	conseil	NOUN	11	nmod
16	municipal	ADJ	14	amod
17	se	PRON	18	dep:comp
18	sont	AUX	18	aux:tense
19	exprimés	VERB	0	root
20	sur	ADP	21	case
21	la	DET	21	det
22	situation	NOUN	18	obl:mod
23	de	ADP	24	case
24	l'	DET	24	det
25	industrie	NOUN	21	nmod
26	navale	ADJ	24	amod
27	.	PUNCT	18	punct