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 publicité est diffusée sur les écrans en novembre 2006 où Doc Gynéco apparaît en serviette se faisant masser par deux jeunes femmes, donnant du grain à moudre à ceux qui l'accusent de sexisme.
Postion	Tokenization
1	La
2	publicité
3	est
4	diffusée
5	sur
6	les
7	écrans
8	en
9	novembre
10	2006
11	où
12	Doc
13	Gynéco
14	apparaît
15	en
16	serviette
17	se
18	faisant
19	masser
20	par
21	deux
22	jeunes
23	femmes
24	,
25	donnant
26	du
27	grain
28	à
29	moudre
30	à
31	ceux
32	qui
33	l'
34	accusent
35	de
36	sexisme
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	publicité	NOUN	4	nsubj:pass
3	est	AUX	4	aux:pass
4	diffusée	VERB	0	root
5	sur	ADP	7	case
6	les	DET	7	det
7	écrans	NOUN	4	obl:mod
8	en	ADP	9	case
9	novembre	NOUN	4	obl:mod
10	2006	NUM	9	nmod
11	où	ADV	14	advmod
12	Doc	PROPN	14	nsubj
13	Gynéco	PROPN	12	flat:name
14	apparaît	VERB	2	acl:relcl
15	en	ADP	16	case
16	serviette	NOUN	14	obl:mod
17	se	PRON	19	obj
18	faisant	AUX	19	aux:caus
19	masser	VERB	14	advcl
20	par	ADP	23	case
21	deux	NUM	23	nummod
22	jeunes	ADJ	23	amod
23	femmes	NOUN	19	obl:agent
24	,	PUNCT	25	punct
25	donnant	VERB	14	advcl
26	du	DET	27	det
27	grain	NOUN	25	obj
28	à	ADP	29	mark
29	moudre	VERB	27	acl
30	à	ADP	31	case
31	ceux	PRON	25	obl:arg
32	qui	PRON	34	nsubj
33	l'	PRON	34	obj
34	accusent	VERB	31	acl:relcl
35	de	ADP	36	case
36	sexisme	NOUN	34	obl:arg
37	.	PUNCT	4	punct