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:
If you're looking for a good burger, some great fries (they are too die for!), and good drinks, go to Chickie & Pete's!
Postion	Tokenization
1	If
2	you're
3	you
4	're
5	looking
6	for
7	a
8	good
9	burger
10	,
11	some
12	great
13	fries
14	(
15	they
16	are
17	too
18	die
19	for
20	!
21	)
22	,
23	and
24	good
25	drinks
26	,
27	go
28	to
29	Chickie
30	&
31	Pete
32	's
33	!
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	you're	_	None	_
3	you	PRON	4	nsubj
4	're	AUX	4	aux
5	looking	VERB	26	advcl
6	for	ADP	8	case
7	a	DET	8	det
8	good	ADJ	8	amod
9	burger	NOUN	4	obl
10	,	PUNCT	12	punct
11	some	DET	12	det
12	great	ADJ	12	amod
13	fries	NOUN	8	conj
14	(	PUNCT	15	punct
15	they	PRON	15	nsubj
16	are	VERB	12	parataxis
17	too	PART	17	mark
18	die	VERB	15	ccomp
19	for	ADP	17	obl
20	!	PUNCT	15	punct
21	)	PUNCT	15	punct
22	,	PUNCT	24	punct
23	and	CCONJ	24	cc
24	good	ADJ	24	amod
25	drinks	NOUN	8	conj
26	,	PUNCT	26	punct
27	go	VERB	0	root
28	to	ADP	28	case
29	Chickie	PROPN	26	obl
30	&	CCONJ	30	cc
31	Pete	PROPN	28	conj
32	's	PART	28	case
33	!	PUNCT	26	punct