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:
I was gonna have a dinner party that night but my cousin is having Having her bridal shower so brunch is it but the only places I know are denny's and ihop.
Postion	Tokenization
1	I
2	was
3	gon
4	na
5	have
6	a
7	dinner
8	party
9	that
10	night
11	but
12	my
13	cousin
14	is
15	having
16	Having
17	her
18	bridal
19	shower
20	so
21	brunch
22	is
23	it
24	but
25	the
26	only
27	places
28	I
29	know
30	are
31	denny's
32	denny
33	's
34	and
35	ihop
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	was	AUX	3	aux
3	gon	VERB	0	root
4	na	PART	5	mark
5	have	VERB	3	xcomp
6	a	DET	8	det
7	dinner	NOUN	8	compound
8	party	NOUN	5	obj
9	that	DET	10	det
10	night	NOUN	5	obl:tmod
11	but	CCONJ	16	cc
12	my	PRON	13	nmod:poss
13	cousin	NOUN	16	nsubj
14	is	AUX	16	aux
15	having	VERB	16	reparandum
16	Having	VERB	3	conj
17	her	PRON	19	nmod:poss
18	bridal	ADJ	19	amod
19	shower	NOUN	16	obj
20	so	ADV	22	advmod
21	brunch	NOUN	22	nsubj
22	is	VERB	3	conj
23	it	PRON	22	expl
24	but	CCONJ	31	cc
25	the	DET	27	det
26	only	ADJ	27	amod
27	places	NOUN	31	nsubj
28	I	PRON	29	nsubj
29	know	VERB	27	acl:relcl
30	are	AUX	31	cop
31	denny's	_	None	_
32	denny	PROPN	3	conj
33	's	PART	31	case
34	and	CCONJ	34	cc
35	ihop	PROPN	31	conj
36	.	PUNCT	3	punct