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:
C'est un affluent de la Dore en rive droite, donc un sous-affluent de la Loire par la Dore, puis par l'Allier.
Postion	Tokenization
1	C'
2	est
3	un
4	affluent
5	de
6	la
7	Dore
8	en
9	rive
10	droite
11	,
12	donc
13	un
14	sous-affluent
15	de
16	la
17	Loire
18	par
19	la
20	Dore
21	,
22	puis
23	par
24	l'
25	Allier
26	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	4	nsubj
2	est	AUX	4	cop
3	un	DET	4	det
4	affluent	NOUN	0	root
5	de	ADP	7	case
6	la	DET	7	det
7	Dore	PROPN	4	nmod
8	en	ADP	9	case
9	rive	NOUN	4	nmod
10	droite	ADJ	9	amod
11	,	PUNCT	14	punct
12	donc	CCONJ	14	cc
13	un	DET	14	det
14	sous-affluent	NOUN	4	conj
15	de	ADP	17	case
16	la	DET	17	det
17	Loire	PROPN	14	nmod
18	par	ADP	20	case
19	la	DET	20	det
20	Dore	PROPN	14	nmod
21	,	PUNCT	25	punct
22	puis	ADV	25	cc
23	par	ADP	25	case
24	l'	DET	25	det
25	Allier	PROPN	20	conj
26	.	PUNCT	4	punct