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:
Musk, which is scraped from their genitals once a day for as long as they can surv ive, makes the scent of perfume last a bit longer after each application.
Postion	Tokenization
1	Musk
2	,
3	which
4	is
5	scraped
6	from
7	their
8	genitals
9	once
10	a
11	day
12	for
13	as
14	long
15	as
16	they
17	can
18	surv
19	ive
20	,
21	makes
22	the
23	scent
24	of
25	perfume
26	last
27	a
28	bit
29	longer
30	after
31	each
32	application
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Musk	NOUN	21	nsubj
2	,	PUNCT	1	punct
3	which	PRON	5	nsubj:pass
4	is	AUX	5	aux:pass
5	scraped	VERB	1	acl:relcl
6	from	ADP	8	case
7	their	PRON	8	nmod:poss
8	genitals	NOUN	5	obl
9	once	ADV	5	advmod
10	a	DET	11	det
11	day	NOUN	9	obl:npmod
12	for	ADP	14	case
13	as	ADV	14	advmod
14	long	ADV	5	obl
15	as	SCONJ	18	mark
16	they	PRON	18	nsubj
17	can	AUX	18	aux
18	surv	X	14	advcl
19	ive	VERB	18	goeswith
20	,	PUNCT	21	punct
21	makes	VERB	0	root
22	the	DET	23	det
23	scent	NOUN	26	nsubj
24	of	ADP	25	case
25	perfume	NOUN	23	nmod
26	last	VERB	21	ccomp
27	a	DET	28	det
28	bit	NOUN	29	obl:npmod
29	longer	ADV	26	advmod
30	after	ADP	32	case
31	each	DET	32	det
32	application	NOUN	26	obl
33	.	PUNCT	21	punct