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:
Cette saignée est sans doutes due au manque d'emplois, notamment dans les domaines industriel et tertiaire, et à la faiblesse du tissu universitaire dans le département.
Postion	Tokenization
1	Cette
2	saignée
3	est
4	sans
5	doutes
6	due
7	au
8	à
9	le
10	manque
11	d'
12	emplois
13	,
14	notamment
15	dans
16	les
17	domaines
18	industriel
19	et
20	tertiaire
21	,
22	et
23	à
24	la
25	faiblesse
26	du
27	de
28	le
29	tissu
30	universitaire
31	dans
32	le
33	département
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	saignée	NOUN	6	nsubj
3	est	AUX	6	aux:pass
4	sans	ADP	6	advmod
5	doutes	NOUN	4	fixed
6	due	VERB	0	root
7	au	_	None	_
8	à	ADP	9	case
9	le	DET	9	det
10	manque	NOUN	6	obl:arg
11	d'	ADP	11	case
12	emplois	NOUN	9	nmod
13	,	PUNCT	16	punct
14	notamment	ADV	16	advmod
15	dans	ADP	16	case
16	les	DET	16	det
17	domaines	NOUN	9	nmod
18	industriel	ADJ	16	amod
19	et	CCONJ	19	cc
20	tertiaire	ADJ	17	conj
21	,	PUNCT	24	punct
22	et	CCONJ	24	cc
23	à	ADP	24	case
24	la	DET	24	det
25	faiblesse	NOUN	9	conj
26	du	_	None	_
27	de	ADP	27	case
28	le	DET	27	det
29	tissu	NOUN	24	nmod
30	universitaire	ADJ	27	amod
31	dans	ADP	31	case
32	le	DET	31	det
33	département	NOUN	24	nmod
34	.	PUNCT	6	punct