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:
OMG.. make sure to book a reservation, as this magical place is packed (in a nice way) I love that the owner walks around and cares how his customers feel about their food.
Postion	Tokenization
1	OMG
2	..
3	make
4	sure
5	to
6	book
7	a
8	reservation
9	,
10	as
11	this
12	magical
13	place
14	is
15	packed
16	(
17	in
18	a
19	nice
20	way
21	)
22	I
23	love
24	that
25	the
26	owner
27	walks
28	around
29	and
30	cares
31	how
32	his
33	customers
34	feel
35	about
36	their
37	food
38	.
Position	Tokenization	UPOS	Head	Deprel
1	OMG	INTJ	3	discourse
2	..	PUNCT	3	punct
3	make	VERB	0	root
4	sure	ADJ	3	xcomp
5	to	PART	6	mark
6	book	VERB	4	xcomp
7	a	DET	8	det
8	reservation	NOUN	6	obj
9	,	PUNCT	3	punct
10	as	SCONJ	15	mark
11	this	DET	13	det
12	magical	ADJ	13	amod
13	place	NOUN	15	nsubj
14	is	AUX	15	cop
15	packed	ADJ	3	advcl
16	(	PUNCT	20	punct
17	in	ADP	20	case
18	a	DET	20	det
19	nice	ADJ	20	amod
20	way	NOUN	15	obl
21	)	PUNCT	20	punct
22	I	PRON	23	nsubj
23	love	VERB	3	ccomp
24	that	SCONJ	27	mark
25	the	DET	26	det
26	owner	NOUN	27	nsubj
27	walks	VERB	23	ccomp
28	around	ADV	27	advmod
29	and	CCONJ	30	cc
30	cares	VERB	27	conj
31	how	SCONJ	34	mark
32	his	PRON	33	nmod:poss
33	customers	NOUN	34	nsubj
34	feel	VERB	30	ccomp
35	about	ADP	37	case
36	their	PRON	37	nmod:poss
37	food	NOUN	34	obl
38	.	PUNCT	3	punct