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:
Buddakan inevitably attracts the majority of its guests simply because of its association with Steven Starr, but that doesn't impress me.
Postion	Tokenization
1	Buddakan
2	inevitably
3	attracts
4	the
5	majority
6	of
7	its
8	guests
9	simply
10	because
11	of
12	its
13	association
14	with
15	Steven
16	Starr
17	,
18	but
19	that
20	doesn't
21	does
22	n't
23	impress
24	me
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Buddakan	PROPN	3	nsubj
2	inevitably	ADV	3	advmod
3	attracts	VERB	0	root
4	the	DET	5	det
5	majority	NOUN	3	obj
6	of	ADP	8	case
7	its	PRON	8	nmod:poss
8	guests	NOUN	5	nmod
9	simply	ADV	13	advmod
10	because	ADP	13	case
11	of	ADP	10	fixed
12	its	PRON	13	nmod:poss
13	association	NOUN	3	obl
14	with	ADP	15	case
15	Steven	PROPN	13	nmod
16	Starr	PROPN	15	flat
17	,	PUNCT	22	punct
18	but	CCONJ	22	cc
19	that	PRON	22	nsubj
20	doesn't	_	None	_
21	does	AUX	22	aux
22	n't	PART	22	advmod
23	impress	VERB	3	conj
24	me	PRON	22	obj
25	.	PUNCT	3	punct