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'm certainly no expert on asian food in fact not even a lover of Vietnamese food but I wanted to try the real things here at A Dong.
Postion	Tokenization
1	I'm
2	I
3	'm
4	certainly
5	no
6	expert
7	on
8	asian
9	food
10	in
11	fact
12	not
13	even
14	a
15	lover
16	of
17	Vietnamese
18	food
19	but
20	I
21	wanted
22	to
23	try
24	the
25	real
26	things
27	here
28	at
29	A
30	Dong
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	5	nsubj
3	'm	AUX	5	cop
4	certainly	ADV	5	advmod
5	no	DET	5	det
6	expert	NOUN	0	root
7	on	ADP	8	case
8	asian	ADJ	8	amod
9	food	NOUN	5	nmod
10	in	ADP	10	case
11	fact	NOUN	14	nmod
12	not	PART	14	advmod
13	even	ADV	14	advmod
14	a	DET	14	det
15	lover	NOUN	5	conj
16	of	ADP	17	case
17	Vietnamese	ADJ	17	amod
18	food	NOUN	14	nmod
19	but	CCONJ	20	cc
20	I	PRON	20	nsubj
21	wanted	VERB	5	conj
22	to	PART	22	mark
23	try	VERB	20	xcomp
24	the	DET	25	det
25	real	ADJ	25	amod
26	things	NOUN	22	obj
27	here	ADV	25	advmod
28	at	ADP	29	case
29	A	PROPN	29	compound
30	Dong	PROPN	25	nmod
31	.	PUNCT	5	punct