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:
Pros: * Jill, the owner, is very nice and really cares about her feedback * Pretty nice atmosphere * Great Dessert * Not your typical veggie selection, I like!
Postion	Tokenization
1	Pros
2	:
3	*
4	Jill
5	,
6	the
7	owner
8	,
9	is
10	very
11	nice
12	and
13	really
14	cares
15	about
16	her
17	feedback
18	*
19	Pretty
20	nice
21	atmosphere
22	*
23	Great
24	Dessert
25	*
26	Not
27	your
28	typical
29	veggie
30	selection
31	,
32	I
33	like
34	!
Position	Tokenization	UPOS	Head	Deprel
1	Pros	NOUN	0	root
2	:	PUNCT	1	punct
3	*	PUNCT	1	punct
4	Jill	PROPN	11	nsubj
5	,	PUNCT	4	punct
6	the	DET	7	det
7	owner	NOUN	4	appos
8	,	PUNCT	1	punct
9	is	AUX	11	cop
10	very	ADV	11	advmod
11	nice	ADJ	1	appos
12	and	CCONJ	14	cc
13	really	ADV	14	advmod
14	cares	VERB	11	conj
15	about	ADP	17	case
16	her	PRON	17	nmod:poss
17	feedback	NOUN	14	obl
18	*	PUNCT	1	punct
19	Pretty	ADV	20	advmod
20	nice	ADJ	21	amod
21	atmosphere	NOUN	11	conj
22	*	PUNCT	1	punct
23	Great	ADJ	24	amod
24	Dessert	NOUN	11	conj
25	*	PUNCT	1	punct
26	Not	ADV	30	advmod
27	your	PRON	30	nmod:poss
28	typical	ADJ	30	amod
29	veggie	NOUN	30	compound
30	selection	NOUN	11	conj
31	,	PUNCT	30	punct
32	I	PRON	33	nsubj
33	like	VERB	1	parataxis
34	!	PUNCT	1	punct