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 dont know how it is possible to make orange chicken, sesame chicken and kung pao chicken as well as cheese puffs taste THAT bad but China Delight accomplished that.
Postion	Tokenization
1	I
2	dont
3	do
4	nt
5	know
6	how
7	it
8	is
9	possible
10	to
11	make
12	orange
13	chicken
14	,
15	sesame
16	chicken
17	and
18	kung
19	pao
20	chicken
21	as
22	well
23	as
24	cheese
25	puffs
26	taste
27	THAT
28	bad
29	but
30	China
31	Delight
32	accomplished
33	that
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	dont	_	None	_
3	do	AUX	4	aux
4	nt	PART	4	advmod
5	know	VERB	0	root
6	how	SCONJ	8	mark
7	it	PRON	8	expl
8	is	AUX	8	cop
9	possible	ADJ	4	ccomp
10	to	PART	10	mark
11	make	VERB	8	csubj
12	orange	NOUN	12	compound
13	chicken	NOUN	10	obj
14	,	PUNCT	15	punct
15	sesame	NOUN	15	compound
16	chicken	NOUN	12	conj
17	and	CCONJ	19	cc
18	kung	NOUN	18	compound
19	pao	NOUN	19	compound
20	chicken	NOUN	12	conj
21	as	ADV	24	cc
22	well	ADV	20	fixed
23	as	ADP	20	fixed
24	cheese	NOUN	24	compound
25	puffs	NOUN	12	conj
26	taste	VERB	10	xcomp
27	THAT	ADV	27	advmod
28	bad	ADJ	25	xcomp
29	but	CCONJ	31	cc
30	China	PROPN	30	compound
31	Delight	PROPN	31	nsubj
32	accomplished	VERB	4	conj
33	that	PRON	31	obj
34	.	PUNCT	4	punct