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:
Les deux barmans salariés, sans aucun sourire, passent leur temps à rincer la vaisselle sans mettre une quelconque ambiance dans ce bar où la musique domine avec force.
Postion	Tokenization
1	Les
2	deux
3	barmans
4	salariés
5	,
6	sans
7	aucun
8	sourire
9	,
10	passent
11	leur
12	temps
13	à
14	rincer
15	la
16	vaisselle
17	sans
18	mettre
19	une
20	quelconque
21	ambiance
22	dans
23	ce
24	bar
25	où
26	la
27	musique
28	domine
29	avec
30	force
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	3	det
2	deux	NUM	3	nummod
3	barmans	NOUN	10	nsubj
4	salariés	ADJ	3	amod
5	,	PUNCT	8	punct
6	sans	ADP	8	case
7	aucun	DET	8	det
8	sourire	NOUN	3	nmod
9	,	PUNCT	8	punct
10	passent	VERB	0	root
11	leur	DET	12	det
12	temps	NOUN	10	obj
13	à	ADP	14	mark
14	rincer	VERB	10	xcomp:obl
15	la	DET	16	det
16	vaisselle	NOUN	14	obj
17	sans	ADP	18	mark
18	mettre	VERB	10	advcl
19	une	DET	21	det
20	quelconque	ADJ	21	amod
21	ambiance	NOUN	18	obj
22	dans	ADP	24	case
23	ce	DET	24	det
24	bar	NOUN	18	obl:arg
25	où	ADV	28	advmod
26	la	DET	27	det
27	musique	NOUN	28	nsubj
28	domine	VERB	24	acl:relcl
29	avec	ADP	30	case
30	force	NOUN	28	obl:mod
31	.	PUNCT	10	punct