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:
So be sure to get your pet's memorial on the site and if you have a charity / rescue, make sure it is listed on their database so you can receive some of the profits from the site.
Postion	Tokenization
1	So
2	be
3	sure
4	to
5	get
6	your
7	pet's
8	pet
9	's
10	memorial
11	on
12	the
13	site
14	and
15	if
16	you
17	have
18	a
19	charity
20	/
21	rescue
22	,
23	make
24	sure
25	it
26	is
27	listed
28	on
29	their
30	database
31	so
32	you
33	can
34	receive
35	some
36	of
37	the
38	profits
39	from
40	the
41	site
42	.
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	3	advmod
2	be	AUX	3	cop
3	sure	ADJ	0	root
4	to	PART	5	mark
5	get	VERB	3	xcomp
6	your	PRON	7	nmod:poss
7	pet's	_	None	_
8	pet	NOUN	9	nmod:poss
9	's	PART	7	case
10	memorial	NOUN	5	obj
11	on	ADP	12	case
12	the	DET	12	det
13	site	NOUN	5	obl
14	and	CCONJ	22	cc
15	if	SCONJ	16	mark
16	you	PRON	16	nsubj
17	have	VERB	22	advcl
18	a	DET	20	det
19	charity	NOUN	20	compound
20	/	PUNCT	20	punct
21	rescue	NOUN	16	obj
22	,	PUNCT	22	punct
23	make	VERB	3	conj
24	sure	ADJ	22	xcomp
25	it	PRON	26	nsubj:pass
26	is	AUX	26	aux:pass
27	listed	VERB	23	ccomp
28	on	ADP	29	case
29	their	PRON	29	nmod:poss
30	database	NOUN	26	obl
31	so	SCONJ	33	mark
32	you	PRON	33	nsubj
33	can	AUX	33	aux
34	receive	VERB	26	advcl
35	some	DET	33	obj
36	of	ADP	37	case
37	the	DET	37	det
38	profits	NOUN	34	nmod
39	from	ADP	40	case
40	the	DET	40	det
41	site	NOUN	37	nmod
42	.	PUNCT	3	punct