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:
Ces suicides, suivis d'autres cas chez PSA Peugeot-Citroën en 2007, avaient soulevé au plan national la question de la souffrance au travail.
Postion	Tokenization
1	Ces
2	suicides
3	,
4	suivis
5	d'
6	autres
7	cas
8	chez
9	PSA
10	Peugeot
11	-
12	Citroën
13	en
14	2007
15	,
16	avaient
17	soulevé
18	au
19	à
20	le
21	plan
22	national
23	la
24	question
25	de
26	la
27	souffrance
28	au
29	à
30	le
31	travail
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ces	DET	2	det
2	suicides	NOUN	17	nsubj
3	,	PUNCT	4	punct
4	suivis	VERB	2	acl
5	d'	ADP	7	case
6	autres	ADJ	7	amod
7	cas	NOUN	4	obl:arg
8	chez	ADP	9	case
9	PSA	PROPN	7	nmod
10	Peugeot	PROPN	9	flat:name
11	-	PUNCT	12	punct
12	Citroën	PROPN	10	flat:name
13	en	ADP	14	case
14	2007	NUM	7	nmod
15	,	PUNCT	4	punct
16	avaient	AUX	17	aux:tense
17	soulevé	VERB	0	root
18	au	_	None	_
19	à	ADP	20	case
20	le	DET	20	det
21	plan	NOUN	17	obl:mod
22	national	ADJ	20	amod
23	la	DET	23	det
24	question	NOUN	17	obj
25	de	ADP	26	case
26	la	DET	26	det
27	souffrance	NOUN	23	nmod
28	au	_	None	_
29	à	ADP	29	case
30	le	DET	29	det
31	travail	NOUN	26	nmod
32	.	PUNCT	17	punct