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:
Si le chômage de masse n'est pas encore complètement vaincu, il disparaîtra avec l'effort de guerre, il a tendance à diminuer et les affaires repartent.
Postion	Tokenization
1	Si
2	le
3	chômage
4	de
5	masse
6	n'
7	est
8	pas
9	encore
10	complètement
11	vaincu
12	,
13	il
14	disparaîtra
15	avec
16	l'
17	effort
18	de
19	guerre
20	,
21	il
22	a
23	tendance
24	à
25	diminuer
26	et
27	les
28	affaires
29	repartent
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	11	mark
2	le	DET	3	det
3	chômage	NOUN	11	nsubj:pass
4	de	ADP	5	case
5	masse	NOUN	3	nmod
6	n'	ADV	11	advmod
7	est	AUX	11	aux:pass
8	pas	ADV	11	advmod
9	encore	ADV	11	advmod
10	complètement	ADV	11	advmod
11	vaincu	VERB	14	advcl
12	,	PUNCT	11	punct
13	il	PRON	14	nsubj
14	disparaîtra	VERB	0	root
15	avec	ADP	17	case
16	l'	DET	17	det
17	effort	NOUN	14	obl:mod
18	de	ADP	19	case
19	guerre	NOUN	17	nmod
20	,	PUNCT	22	punct
21	il	PRON	22	nsubj
22	a	VERB	14	conj
23	tendance	NOUN	22	obj:lvc
24	à	ADP	25	mark
25	diminuer	VERB	23	xcomp:obl
26	et	CCONJ	29	cc
27	les	DET	28	det
28	affaires	NOUN	29	nsubj
29	repartent	VERB	22	conj
30	.	PUNCT	14	punct