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 have a friend out in Chicago this week, and I am trying to remember the name of an awesome hibachi style restaurant i visited while out there a couple years ago.
Postion	Tokenization
1	I
2	have
3	a
4	friend
5	out
6	in
7	Chicago
8	this
9	week
10	,
11	and
12	I
13	am
14	trying
15	to
16	remember
17	the
18	name
19	of
20	an
21	awesome
22	hibachi
23	style
24	restaurant
25	i
26	visited
27	while
28	out
29	there
30	a
31	couple
32	years
33	ago
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	have	VERB	0	root
3	a	DET	4	det
4	friend	NOUN	2	obj
5	out	ADV	4	advmod
6	in	ADP	7	case
7	Chicago	PROPN	5	obl
8	this	DET	9	det
9	week	NOUN	4	nmod:tmod
10	,	PUNCT	14	punct
11	and	CCONJ	14	cc
12	I	PRON	14	nsubj
13	am	AUX	14	aux
14	trying	VERB	2	conj
15	to	PART	16	mark
16	remember	VERB	14	xcomp
17	the	DET	18	det
18	name	NOUN	16	obj
19	of	ADP	24	case
20	an	DET	24	det
21	awesome	ADJ	24	amod
22	hibachi	NOUN	23	compound
23	style	NOUN	24	compound
24	restaurant	NOUN	18	nmod
25	i	PRON	26	nsubj
26	visited	VERB	24	acl:relcl
27	while	SCONJ	29	mark
28	out	ADV	29	advmod
29	there	ADV	26	advcl
30	a	DET	31	det
31	couple	NOUN	32	nmod
32	years	NOUN	33	obl:npmod
33	ago	ADV	26	advmod
34	.	PUNCT	2	punct