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:
Very disappointed in Kitchen Aid as well, I thought that they pre-screened their vendors for price and quality of work, obviously they do not!
Postion	Tokenization
1	Very
2	disappointed
3	in
4	Kitchen
5	Aid
6	as
7	well
8	,
9	I
10	thought
11	that
12	they
13	pre-screened
14	their
15	vendors
16	for
17	price
18	and
19	quality
20	of
21	work
22	,
23	obviously
24	they
25	do
26	not
27	!
Position	Tokenization	UPOS	Head	Deprel
1	Very	ADV	2	advmod
2	disappointed	ADJ	0	root
3	in	ADP	5	case
4	Kitchen	PROPN	5	compound
5	Aid	PROPN	2	obl
6	as	ADV	2	advmod
7	well	ADV	6	fixed
8	,	PUNCT	2	punct
9	I	PRON	10	nsubj
10	thought	VERB	2	parataxis
11	that	SCONJ	13	mark
12	they	PRON	13	nsubj
13	pre-screened	VERB	10	ccomp
14	their	PRON	15	nmod:poss
15	vendors	NOUN	13	obj
16	for	ADP	17	case
17	price	NOUN	13	obl
18	and	CCONJ	19	cc
19	quality	NOUN	17	conj
20	of	ADP	21	case
21	work	NOUN	19	nmod
22	,	PUNCT	2	punct
23	obviously	ADV	25	advmod
24	they	PRON	25	nsubj
25	do	AUX	2	parataxis
26	not	PART	25	advmod
27	!	PUNCT	2	punct