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:
Whatever type of operation they are running, I'm not interested and if you're smart, you won't be either.
Postion	Tokenization
1	Whatever
2	type
3	of
4	operation
5	they
6	are
7	running
8	,
9	I'm
10	I
11	'm
12	not
13	interested
14	and
15	if
16	you're
17	you
18	're
19	smart
20	,
21	you
22	won't
23	wo
24	n't
25	be
26	either
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Whatever	DET	2	det
2	type	NOUN	7	obj
3	of	ADP	4	case
4	operation	NOUN	2	nmod
5	they	PRON	7	nsubj
6	are	AUX	7	aux
7	running	VERB	12	advcl
8	,	PUNCT	12	punct
9	I'm	_	None	_
10	I	PRON	12	nsubj
11	'm	AUX	12	cop
12	not	PART	12	advmod
13	interested	ADJ	0	root
14	and	CCONJ	22	cc
15	if	SCONJ	17	mark
16	you're	_	None	_
17	you	PRON	17	nsubj
18	're	AUX	17	cop
19	smart	ADJ	22	advcl
20	,	PUNCT	22	punct
21	you	PRON	22	nsubj
22	won't	_	None	_
23	wo	AUX	22	aux
24	n't	PART	22	advmod
25	be	VERB	12	conj
26	either	ADV	22	advmod
27	.	PUNCT	12	punct