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:
The bartender is a douchebag and he has a little console behind the bar where he can delete songs he doesn't like, and you end up paying for it.
Postion	Tokenization
1	The
2	bartender
3	is
4	a
5	douchebag
6	and
7	he
8	has
9	a
10	little
11	console
12	behind
13	the
14	bar
15	where
16	he
17	can
18	delete
19	songs
20	he
21	doesn't
22	does
23	n't
24	like
25	,
26	and
27	you
28	end
29	up
30	paying
31	for
32	it
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	bartender	NOUN	5	nsubj
3	is	AUX	5	cop
4	a	DET	5	det
5	douchebag	NOUN	0	root
6	and	CCONJ	8	cc
7	he	PRON	8	nsubj
8	has	VERB	5	conj
9	a	DET	11	det
10	little	ADJ	11	amod
11	console	NOUN	8	obj
12	behind	ADP	14	case
13	the	DET	14	det
14	bar	NOUN	11	nmod
15	where	SCONJ	18	mark
16	he	PRON	18	nsubj
17	can	AUX	18	aux
18	delete	VERB	11	acl:relcl
19	songs	NOUN	18	obj
20	he	PRON	23	nsubj
21	doesn't	_	None	_
22	does	AUX	23	aux
23	n't	PART	23	advmod
24	like	VERB	19	acl:relcl
25	,	PUNCT	27	punct
26	and	CCONJ	27	cc
27	you	PRON	27	nsubj
28	end	VERB	5	conj
29	up	ADP	27	compound:prt
30	paying	VERB	27	xcomp
31	for	ADP	31	case
32	it	PRON	29	obl
33	.	PUNCT	5	punct