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:
Toute la ville participe : ainsi, l'hôpital est transformé en atelier où des blouses sont cousues par de jeunes couturières volontaires pour les hommes en armes.
Postion	Tokenization
1	Toute
2	la
3	ville
4	participe
5	:
6	ainsi
7	,
8	l'
9	hôpital
10	est
11	transformé
12	en
13	atelier
14	où
15	des
16	blouses
17	sont
18	cousues
19	par
20	de
21	jeunes
22	couturières
23	volontaires
24	pour
25	les
26	hommes
27	en
28	armes
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Toute	ADJ	3	amod
2	la	DET	3	det
3	ville	NOUN	4	nsubj
4	participe	VERB	0	root
5	:	PUNCT	11	punct
6	ainsi	ADV	11	advmod
7	,	PUNCT	6	punct
8	l'	DET	9	det
9	hôpital	NOUN	11	nsubj:pass
10	est	AUX	11	aux:pass
11	transformé	VERB	4	parataxis
12	en	ADP	13	case
13	atelier	NOUN	11	obl:mod
14	où	ADV	18	advmod
15	des	DET	16	det
16	blouses	NOUN	18	nsubj:pass
17	sont	AUX	18	aux:pass
18	cousues	VERB	13	acl:relcl
19	par	ADP	22	case
20	de	DET	22	det
21	jeunes	ADJ	22	amod
22	couturières	NOUN	18	obl:agent
23	volontaires	ADJ	22	amod
24	pour	ADP	26	case
25	les	DET	26	det
26	hommes	NOUN	18	obl:mod
27	en	ADP	28	case
28	armes	NOUN	26	nmod
29	.	PUNCT	4	punct