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:
Dans la nature, c'est un arbre des forêts humides qui peut atteindre 33 mètres de hauteur, bien que, cultivé, il fasse une hauteur de 10 mètres soit plus probable.
Postion	Tokenization
1	Dans
2	la
3	nature
4	,
5	c'
6	est
7	un
8	arbre
9	des
10	de
11	les
12	forêts
13	humides
14	qui
15	peut
16	atteindre
17	33
18	mètres
19	de
20	hauteur
21	,
22	bien
23	que
24	,
25	cultivé
26	,
27	il
28	fasse
29	une
30	hauteur
31	de
32	10
33	mètres
34	soit
35	plus
36	probable
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	3	case
2	la	DET	3	det
3	nature	NOUN	8	obl:mod
4	,	PUNCT	3	punct
5	c'	PRON	8	nsubj
6	est	AUX	8	cop
7	un	DET	8	det
8	arbre	NOUN	0	root
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	forêts	NOUN	8	nmod
13	humides	ADJ	11	amod
14	qui	PRON	14	nsubj
15	peut	VERB	11	acl:relcl
16	atteindre	VERB	14	xcomp:obj
17	33	NUM	17	nummod
18	mètres	NOUN	15	obj
19	de	ADP	19	case
20	hauteur	NOUN	17	nmod
21	,	PUNCT	35	punct
22	bien	ADV	27	mark
23	que	SCONJ	21	fixed
24	,	PUNCT	24	punct
25	cultivé	VERB	35	advcl
26	,	PUNCT	24	punct
27	il	PRON	35	nsubj
28	fasse	VERB	35	ccomp:obj
29	une	DET	29	det
30	hauteur	NOUN	27	obj
31	de	ADP	32	case
32	10	NUM	32	nummod
33	mètres	NOUN	29	nmod
34	soit	AUX	35	cop
35	plus	ADV	35	advmod
36	probable	ADJ	14	advcl
37	.	PUNCT	8	punct