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:
Par conséquent, le rendaku reste partiellement aléatoire, allant même jusqu'à poser des problèmes aux japonais natifs, surtout dans les noms propres, où le rendaku se montre assez capricieux.
Postion	Tokenization
1	Par
2	conséquent
3	,
4	le
5	rendaku
6	reste
7	partiellement
8	aléatoire
9	,
10	allant
11	même
12	jusqu'
13	à
14	poser
15	des
16	problèmes
17	aux
18	à
19	les
20	japonais
21	natifs
22	,
23	surtout
24	dans
25	les
26	noms
27	propres
28	,
29	où
30	le
31	rendaku
32	se
33	montre
34	assez
35	capricieux
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	6	advmod
2	conséquent	NOUN	1	fixed
3	,	PUNCT	1	punct
4	le	DET	5	det
5	rendaku	NOUN	6	nsubj
6	reste	VERB	0	root
7	partiellement	ADV	8	advmod
8	aléatoire	ADJ	6	xcomp:pred
9	,	PUNCT	10	punct
10	allant	VERB	6	advcl
11	même	ADV	10	advmod
12	jusqu'	ADP	14	mark
13	à	ADP	14	mark
14	poser	VERB	10	xcomp:obl
15	des	DET	16	det
16	problèmes	NOUN	14	obj
17	aux	_	None	_
18	à	ADP	19	case
19	les	DET	19	det
20	japonais	NOUN	14	obl:arg
21	natifs	ADJ	19	amod
22	,	PUNCT	25	punct
23	surtout	ADV	25	advmod
24	dans	ADP	25	case
25	les	DET	25	det
26	noms	NOUN	14	obl:mod
27	propres	ADJ	25	amod
28	,	PUNCT	32	punct
29	où	ADV	32	advmod
30	le	DET	30	det
31	rendaku	NOUN	32	nsubj
32	se	PRON	32	dep:comp
33	montre	VERB	25	acl:relcl
34	assez	ADV	34	advmod
35	capricieux	ADJ	32	xcomp:pred
36	.	PUNCT	6	punct