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:
Durant leur séjour, les maires français vont participer au forum de Beijing sur le développement durable des villes, effectuer des recherches dans divers districts de la ville, visiter des sites touristiques comme la Cité interdite, la Grande Muraille et le Temple des Lamas.
Postion	Tokenization
1	Durant
2	leur
3	séjour
4	,
5	les
6	maires
7	français
8	vont
9	participer
10	au
11	à
12	le
13	forum
14	de
15	Beijing
16	sur
17	le
18	développement
19	durable
20	des
21	de
22	les
23	villes
24	,
25	effectuer
26	des
27	recherches
28	dans
29	divers
30	districts
31	de
32	la
33	ville
34	,
35	visiter
36	des
37	sites
38	touristiques
39	comme
40	la
41	Cité
42	interdite
43	,
44	la
45	Grande
46	Muraille
47	et
48	le
49	Temple
50	des
51	de
52	les
53	Lamas
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Durant	ADP	3	case
2	leur	DET	3	det
3	séjour	NOUN	8	obl:mod
4	,	PUNCT	3	punct
5	les	DET	6	det
6	maires	NOUN	8	nsubj
7	français	ADJ	6	amod
8	vont	VERB	0	root
9	participer	VERB	8	xcomp:obj
10	au	_	None	_
11	à	ADP	12	case
12	le	DET	12	det
13	forum	NOUN	9	obl:arg
14	de	ADP	14	case
15	Beijing	PROPN	12	nmod
16	sur	ADP	17	case
17	le	DET	17	det
18	développement	NOUN	12	nmod
19	durable	ADJ	17	amod
20	des	_	None	_
21	de	ADP	21	case
22	les	DET	21	det
23	villes	NOUN	17	nmod
24	,	PUNCT	23	punct
25	effectuer	VERB	9	conj
26	des	DET	25	det
27	recherches	NOUN	23	obj
28	dans	ADP	28	case
29	divers	DET	28	det
30	districts	NOUN	23	obl:mod
31	de	ADP	31	case
32	la	DET	31	det
33	ville	NOUN	28	nmod
34	,	PUNCT	33	punct
35	visiter	VERB	9	conj
36	des	DET	35	det
37	sites	NOUN	33	obj
38	touristiques	ADJ	35	amod
39	comme	ADP	39	case
40	la	DET	39	det
41	Cité	PROPN	35	nmod
42	interdite	ADJ	39	amod
43	,	PUNCT	44	punct
44	la	DET	44	det
45	Grande	ADJ	44	amod
46	Muraille	NOUN	39	conj
47	et	CCONJ	47	cc
48	le	DET	47	det
49	Temple	NOUN	39	conj
50	des	_	None	_
51	de	ADP	50	case
52	les	DET	50	det
53	Lamas	NOUN	47	nmod
54	.	PUNCT	8	punct