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:
Il est également un fervent paysagiste et, dès 1890, stylise fortement ses thèmes, au point que ses lacs et massifs montagneux se transforment en métaphores de l'éternité.
Postion	Tokenization
1	Il
2	est
3	également
4	un
5	fervent
6	paysagiste
7	et
8	,
9	dès
10	1890
11	,
12	stylise
13	fortement
14	ses
15	thèmes
16	,
17	au
18	à
19	le
20	point
21	que
22	ses
23	lacs
24	et
25	massifs
26	montagneux
27	se
28	transforment
29	en
30	métaphores
31	de
32	l'
33	éternité
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	6	nsubj
2	est	AUX	6	cop
3	également	ADV	6	advmod
4	un	DET	6	det
5	fervent	ADJ	6	amod
6	paysagiste	NOUN	0	root
7	et	CCONJ	12	cc
8	,	PUNCT	7	punct
9	dès	ADP	10	case
10	1890	NUM	12	obl:mod
11	,	PUNCT	10	punct
12	stylise	VERB	6	conj
13	fortement	ADV	12	advmod
14	ses	DET	15	det
15	thèmes	NOUN	12	obj
16	,	PUNCT	19	punct
17	au	_	None	_
18	à	ADP	19	case
19	le	DET	19	det
20	point	NOUN	12	obl:mod
21	que	SCONJ	27	mark
22	ses	DET	22	det
23	lacs	NOUN	27	nsubj:pass
24	et	CCONJ	24	cc
25	massifs	NOUN	22	conj
26	montagneux	ADJ	24	amod
27	se	PRON	27	expl:pass
28	transforment	VERB	19	acl
29	en	ADP	29	case
30	métaphores	NOUN	27	obl:mod
31	de	ADP	32	case
32	l'	DET	32	det
33	éternité	NOUN	29	nmod
34	.	PUNCT	6	punct