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:
Once you've buttered them up a bit try to get them to the pet store and ask one of the employees to handle the snake showing your mom how gentle and harmless they can be.
Postion	Tokenization
1	Once
2	you've
3	you
4	've
5	buttered
6	them
7	up
8	a
9	bit
10	try
11	to
12	get
13	them
14	to
15	the
16	pet
17	store
18	and
19	ask
20	one
21	of
22	the
23	employees
24	to
25	handle
26	the
27	snake
28	showing
29	your
30	mom
31	how
32	gentle
33	and
34	harmless
35	they
36	can
37	be
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Once	SCONJ	4	mark
2	you've	_	None	_
3	you	PRON	4	nsubj
4	've	AUX	4	aux
5	buttered	VERB	9	advcl
6	them	PRON	4	obj
7	up	ADP	4	compound:prt
8	a	DET	8	det
9	bit	NOUN	4	obl:npmod
10	try	VERB	0	root
11	to	PART	11	mark
12	get	VERB	9	xcomp
13	them	PRON	11	obj
14	to	ADP	16	case
15	the	DET	16	det
16	pet	NOUN	16	compound
17	store	NOUN	11	obl
18	and	CCONJ	18	cc
19	ask	VERB	9	conj
20	one	NUM	18	obj
21	of	ADP	22	case
22	the	DET	22	det
23	employees	NOUN	19	nmod
24	to	PART	24	mark
25	handle	VERB	18	xcomp
26	the	DET	26	det
27	snake	NOUN	24	obj
28	showing	VERB	24	advcl
29	your	PRON	29	nmod:poss
30	mom	NOUN	27	obj
31	how	SCONJ	31	mark
32	gentle	ADJ	27	ccomp
33	and	CCONJ	33	cc
34	harmless	ADJ	31	conj
35	they	PRON	31	nsubj
36	can	AUX	31	aux
37	be	AUX	31	cop
38	.	PUNCT	9	punct