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:
Sure, some items are a little pricey, but c'mon... have you ever been out to eat in Seattle before?
Postion	Tokenization
1	Sure
2	,
3	some
4	items
5	are
6	a
7	little
8	pricey
9	,
10	but
11	c'm
12	on
13	...
14	have
15	you
16	ever
17	been
18	out
19	to
20	eat
21	in
22	Seattle
23	before
24	?
Position	Tokenization	UPOS	Head	Deprel
1	Sure	INTJ	8	discourse
2	,	PUNCT	8	punct
3	some	DET	4	det
4	items	NOUN	8	nsubj
5	are	AUX	8	cop
6	a	DET	7	det
7	little	ADJ	8	obl:npmod
8	pricey	ADJ	0	root
9	,	PUNCT	11	punct
10	but	CCONJ	11	cc
11	c'm	VERB	8	conj
12	on	ADV	11	advmod
13	...	PUNCT	11	punct
14	have	AUX	17	aux
15	you	PRON	17	nsubj
16	ever	ADV	17	advmod
17	been	VERB	11	parataxis
18	out	ADV	17	advmod
19	to	PART	20	mark
20	eat	VERB	17	advcl
21	in	ADP	22	case
22	Seattle	PROPN	17	obl
23	before	ADV	17	advmod
24	?	PUNCT	8	punct