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 clématite Zara est sensible à l'excès d'eau ce qui pourra provoquer une pourriture du collet de la plante et ainsi la mort de la clématite.
Postion	Tokenization
1	La
2	clématite
3	Zara
4	est
5	sensible
6	à
7	l'
8	excès
9	d'
10	eau
11	ce
12	qui
13	pourra
14	provoquer
15	une
16	pourriture
17	du
18	de
19	le
20	collet
21	de
22	la
23	plante
24	et
25	ainsi
26	la
27	mort
28	de
29	la
30	clématite
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	clématite	NOUN	5	nsubj
3	Zara	PROPN	2	appos
4	est	AUX	5	cop
5	sensible	ADJ	0	root
6	à	ADP	8	case
7	l'	DET	8	det
8	excès	NOUN	5	obl:arg
9	d'	ADP	10	case
10	eau	NOUN	8	nmod
11	ce	PRON	8	appos
12	qui	PRON	13	nsubj
13	pourra	VERB	11	acl:relcl
14	provoquer	VERB	13	xcomp:obj
15	une	DET	16	det
16	pourriture	NOUN	14	obj
17	du	_	None	_
18	de	ADP	19	case
19	le	DET	19	det
20	collet	NOUN	16	nmod
21	de	ADP	22	case
22	la	DET	22	det
23	plante	NOUN	19	nmod
24	et	CCONJ	26	cc
25	ainsi	ADV	26	advmod
26	la	DET	26	det
27	mort	NOUN	16	conj
28	de	ADP	29	case
29	la	DET	29	det
30	clématite	NOUN	26	nmod
31	.	PUNCT	5	punct