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:
Bottom line is that when it's a small privatly owned resturant like this is you can tell that the owners and employees take pride in their product and service.
Postion	Tokenization
1	Bottom
2	line
3	is
4	that
5	when
6	it's
7	it
8	's
9	a
10	small
11	privatly
12	owned
13	resturant
14	like
15	this
16	is
17	you
18	can
19	tell
20	that
21	the
22	owners
23	and
24	employees
25	take
26	pride
27	in
28	their
29	product
30	and
31	service
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Bottom	ADJ	2	amod
2	line	NOUN	3	nsubj
3	is	VERB	0	root
4	that	SCONJ	18	mark
5	when	SCONJ	12	mark
6	it's	_	None	_
7	it	PRON	12	nsubj
8	's	AUX	12	cop
9	a	DET	12	det
10	small	ADJ	12	amod
11	privatly	ADV	11	advmod
12	owned	VERB	12	amod
13	resturant	NOUN	18	advcl
14	like	SCONJ	15	mark
15	this	PRON	15	nsubj
16	is	VERB	12	advcl
17	you	PRON	18	nsubj
18	can	AUX	18	aux
19	tell	VERB	3	ccomp
20	that	SCONJ	24	mark
21	the	DET	21	det
22	owners	NOUN	24	nsubj
23	and	CCONJ	23	cc
24	employees	NOUN	21	conj
25	take	VERB	18	ccomp
26	pride	NOUN	24	obj
27	in	ADP	28	case
28	their	PRON	28	nmod:poss
29	product	NOUN	24	obl
30	and	CCONJ	30	cc
31	service	NOUN	28	conj
32	.	PUNCT	3	punct