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:
De plus les traits nombreux sur les visages transcrivent les émotions, et le fameux cow boy n'est bien sûr pas oublié.
Postion	Tokenization
1	De
2	plus
3	les
4	traits
5	nombreux
6	sur
7	les
8	visages
9	transcrivent
10	les
11	émotions
12	,
13	et
14	le
15	fameux
16	cow
17	boy
18	n'
19	est
20	bien
21	sûr
22	pas
23	oublié
24	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	9	advmod
2	plus	ADV	1	fixed
3	les	DET	4	det
4	traits	NOUN	9	nsubj
5	nombreux	ADJ	4	amod
6	sur	ADP	8	case
7	les	DET	8	det
8	visages	NOUN	4	nmod
9	transcrivent	VERB	0	root
10	les	DET	11	det
11	émotions	NOUN	9	obj
12	,	PUNCT	23	punct
13	et	CCONJ	23	cc
14	le	DET	17	det
15	fameux	ADJ	17	amod
16	cow	NOUN	17	nmod
17	boy	NOUN	23	nsubj
18	n'	ADV	23	advmod
19	est	AUX	23	aux:tense
20	bien	ADV	23	advmod
21	sûr	ADJ	20	fixed
22	pas	ADV	23	advmod
23	oublié	VERB	9	conj
24	.	PUNCT	9	punct