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:
La cour d'appel d'Angers traite les affaires jugées par les tribunaux de son ressort qui s'étend sur les départements du Maine-et-Loire, de la Mayenne et de la Sarthe.
Postion	Tokenization
1	La
2	cour
3	d'
4	appel
5	d'
6	Angers
7	traite
8	les
9	affaires
10	jugées
11	par
12	les
13	tribunaux
14	de
15	son
16	ressort
17	qui
18	s'
19	étend
20	sur
21	les
22	départements
23	du
24	de
25	le
26	Maine-et-Loire
27	,
28	de
29	la
30	Mayenne
31	et
32	de
33	la
34	Sarthe
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	cour	NOUN	7	nsubj
3	d'	ADP	4	case
4	appel	NOUN	2	nmod
5	d'	ADP	6	case
6	Angers	PROPN	2	nmod
7	traite	VERB	0	root
8	les	DET	9	det
9	affaires	NOUN	7	obj
10	jugées	VERB	9	acl
11	par	ADP	13	case
12	les	DET	13	det
13	tribunaux	NOUN	10	obl:agent
14	de	ADP	16	case
15	son	DET	16	det
16	ressort	NOUN	13	nmod
17	qui	PRON	19	nsubj
18	s'	PRON	19	dep:comp
19	étend	VERB	16	acl:relcl
20	sur	ADP	22	case
21	les	DET	22	det
22	départements	NOUN	19	obl:mod
23	du	_	None	_
24	de	ADP	25	case
25	le	DET	25	det
26	Maine-et-Loire	PROPN	22	nmod
27	,	PUNCT	29	punct
28	de	ADP	29	case
29	la	DET	29	det
30	Mayenne	PROPN	25	nmod
31	et	CCONJ	33	cc
32	de	ADP	33	case
33	la	DET	33	det
34	Sarthe	PROPN	25	conj
35	.	PUNCT	7	punct