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:
Ainsi, des séries comme Akasya Duragi, Sihrli Annem ou Genis Aile ont vu leur diffusion passer d'une chaîne à une autre en milieu de saison.
Postion	Tokenization
1	Ainsi
2	,
3	des
4	séries
5	comme
6	Akasya
7	Duragi
8	,
9	Sihrli
10	Annem
11	ou
12	Genis
13	Aile
14	ont
15	vu
16	leur
17	diffusion
18	passer
19	d'
20	une
21	chaîne
22	à
23	une
24	autre
25	en
26	milieu
27	de
28	saison
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ainsi	ADV	15	advmod
2	,	PUNCT	1	punct
3	des	DET	4	det
4	séries	NOUN	15	nsubj
5	comme	ADP	6	case
6	Akasya	PROPN	4	nmod
7	Duragi	PROPN	6	flat:name
8	,	PUNCT	9	punct
9	Sihrli	PROPN	6	conj
10	Annem	PROPN	9	flat:name
11	ou	CCONJ	12	cc
12	Genis	PROPN	6	conj
13	Aile	PROPN	12	flat:name
14	ont	AUX	15	aux:tense
15	vu	VERB	0	root
16	leur	DET	17	det
17	diffusion	NOUN	15	obj
18	passer	VERB	15	xcomp:obj
19	d'	ADP	21	case
20	une	DET	21	det
21	chaîne	NOUN	18	obl:arg
22	à	ADP	24	case
23	une	DET	24	det
24	autre	PRON	21	nmod
25	en	ADP	26	case
26	milieu	NOUN	18	obl:mod
27	de	ADP	28	case
28	saison	NOUN	26	nmod
29	.	PUNCT	15	punct