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 want to eat cheaply without worrying about all those daily deal emails every day, ZebraKlub should be perfect for you.
Postion	Tokenization
1	If
2	you
3	want
4	to
5	eat
6	cheaply
7	without
8	worrying
9	about
10	all
11	those
12	daily
13	deal
14	emails
15	every
16	day
17	,
18	ZebraKlub
19	should
20	be
21	perfect
22	for
23	you
24	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	you	PRON	3	nsubj
3	want	VERB	21	advcl
4	to	PART	5	mark
5	eat	VERB	3	xcomp
6	cheaply	ADV	5	advmod
7	without	SCONJ	8	mark
8	worrying	VERB	5	advcl
9	about	ADP	14	case
10	all	DET	14	det:predet
11	those	DET	14	det
12	daily	ADJ	13	amod
13	deal	NOUN	14	compound
14	emails	NOUN	8	obl
15	every	DET	16	det
16	day	NOUN	8	obl:tmod
17	,	PUNCT	21	punct
18	ZebraKlub	PROPN	21	nsubj
19	should	AUX	21	aux
20	be	AUX	21	cop
21	perfect	ADJ	0	root
22	for	ADP	23	case
23	you	PRON	21	obl
24	.	PUNCT	21	punct