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:
Certes, les paysages du pays des pierres (Karastan en arménien) brûlés par le soleil mettent en valeur l'attachement filial de ce peintre à son pays natal, mais il devient miroir vivifiant quand tout un peuple s'y reconnaît, au travers de puissants accords chromatiques.
Postion	Tokenization
1	Certes
2	,
3	les
4	paysages
5	du
6	de
7	le
8	pays
9	des
10	de
11	les
12	pierres
13	(
14	Karastan
15	en
16	arménien
17	)
18	brûlés
19	par
20	le
21	soleil
22	mettent
23	en
24	valeur
25	l'
26	attachement
27	filial
28	de
29	ce
30	peintre
31	à
32	son
33	pays
34	natal
35	,
36	mais
37	il
38	devient
39	miroir
40	vivifiant
41	quand
42	tout
43	un
44	peuple
45	s'
46	y
47	reconnaît
48	,
49	au
50	à
51	le
52	travers
53	de
54	puissants
55	accords
56	chromatiques
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Certes	ADV	20	advmod
2	,	PUNCT	1	punct
3	les	DET	4	det
4	paysages	NOUN	20	nsubj
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	pays	NOUN	4	nmod
9	des	_	None	_
10	de	ADP	10	case
11	les	DET	10	det
12	pierres	NOUN	7	nmod
13	(	PUNCT	12	punct
14	Karastan	PROPN	7	appos
15	en	ADP	14	case
16	arménien	NOUN	12	nmod
17	)	PUNCT	12	punct
18	brûlés	VERB	4	acl
19	par	ADP	19	case
20	le	DET	19	det
21	soleil	NOUN	16	obl:agent
22	mettent	VERB	0	root
23	en	ADP	22	case
24	valeur	NOUN	20	obl:mod
25	l'	DET	24	det
26	attachement	NOUN	20	obj
27	filial	ADJ	24	amod
28	de	ADP	28	case
29	ce	DET	28	det
30	peintre	NOUN	24	nmod
31	à	ADP	31	case
32	son	DET	31	det
33	pays	NOUN	24	nmod
34	natal	ADJ	31	amod
35	,	PUNCT	36	punct
36	mais	CCONJ	36	cc
37	il	PRON	36	nsubj
38	devient	VERB	20	conj
39	miroir	NOUN	36	xcomp:pred
40	vivifiant	ADJ	37	amod
41	quand	SCONJ	45	mark
42	tout	ADJ	42	amod
43	un	DET	42	det
44	peuple	NOUN	45	nsubj
45	s'	PRON	45	obj
46	y	PRON	45	obl:arg
47	reconnaît	VERB	36	advcl
48	,	PUNCT	49	punct
49	au	_	None	_
50	à	ADP	49	case
51	le	DET	49	det
52	travers	NOUN	45	obl:mod
53	de	ADP	52	case
54	puissants	ADJ	52	amod
55	accords	NOUN	49	nmod
56	chromatiques	ADJ	52	amod
57	.	PUNCT	20	punct