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:
Des AVN Awards sont ainsi décernés dans plus de 130 catégories couvrant non seulement les films pornographiques, mais aussi les sites internet, le marketing, les jouets sexuels...
Postion	Tokenization
1	Des
2	AVN
3	Awards
4	sont
5	ainsi
6	décernés
7	dans
8	plus
9	de
10	130
11	catégories
12	couvrant
13	non
14	seulement
15	les
16	films
17	pornographiques
18	,
19	mais
20	aussi
21	les
22	sites
23	internet
24	,
25	le
26	marketing
27	,
28	les
29	jouets
30	sexuels
31	...
Position	Tokenization	UPOS	Head	Deprel
1	Des	DET	3	det
2	AVN	PROPN	3	nmod
3	Awards	PROPN	6	nsubj:pass
4	sont	AUX	6	aux:pass
5	ainsi	ADV	6	advmod
6	décernés	VERB	0	root
7	dans	ADP	8	case
8	plus	ADV	6	obl:mod
9	de	ADP	11	case
10	130	NUM	11	nummod
11	catégories	NOUN	8	dep:comp
12	couvrant	VERB	11	acl
13	non	ADV	12	advmod
14	seulement	ADV	13	fixed
15	les	DET	16	det
16	films	NOUN	12	obj
17	pornographiques	ADJ	16	amod
18	,	PUNCT	22	punct
19	mais	CCONJ	22	cc
20	aussi	ADV	22	advmod
21	les	DET	22	det
22	sites	NOUN	12	conj
23	internet	NOUN	22	nmod
24	,	PUNCT	26	punct
25	le	DET	26	det
26	marketing	NOUN	12	conj
27	,	PUNCT	29	punct
28	les	DET	29	det
29	jouets	NOUN	12	conj
30	sexuels	ADJ	29	amod
31	...	PUNCT	6	punct