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:
Recently, I read an email that reported the horrific nightmare Civet Cats go through by sick losers who put them in sheds and heat the inside of the sheds up to 110 degrees with fires, so that they can periodically scrape the sweat off of their genitals and sell it to corrupt corporations who use it to prolong the scent of perfumes.
Postion	Tokenization
1	Recently
2	,
3	I
4	read
5	an
6	email
7	that
8	reported
9	the
10	horrific
11	nightmare
12	Civet
13	Cats
14	go
15	through
16	by
17	sick
18	losers
19	who
20	put
21	them
22	in
23	sheds
24	and
25	heat
26	the
27	inside
28	of
29	the
30	sheds
31	up
32	to
33	110
34	degrees
35	with
36	fires
37	,
38	so
39	that
40	they
41	can
42	periodically
43	scrape
44	the
45	sweat
46	off
47	of
48	their
49	genitals
50	and
51	sell
52	it
53	to
54	corrupt
55	corporations
56	who
57	use
58	it
59	to
60	prolong
61	the
62	scent
63	of
64	perfumes
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Recently	ADV	4	advmod
2	,	PUNCT	4	punct
3	I	PRON	4	nsubj
4	read	VERB	0	root
5	an	DET	6	det
6	email	NOUN	4	obj
7	that	PRON	8	nsubj
8	reported	VERB	6	acl:relcl
9	the	DET	11	det
10	horrific	ADJ	11	amod
11	nightmare	NOUN	8	obj
12	Civet	NOUN	13	compound
13	Cats	NOUN	14	nsubj
14	go	VERB	11	acl:relcl
15	through	ADP	14	obl
16	by	ADP	18	case
17	sick	ADJ	18	amod
18	losers	NOUN	14	obl
19	who	PRON	20	nsubj
20	put	VERB	18	acl:relcl
21	them	PRON	20	obj
22	in	ADP	23	case
23	sheds	NOUN	20	obl
24	and	CCONJ	25	cc
25	heat	VERB	20	conj
26	the	DET	27	det
27	inside	NOUN	25	obj
28	of	ADP	30	case
29	the	DET	30	det
30	sheds	NOUN	27	nmod
31	up	ADP	25	compound:prt
32	to	ADP	34	case
33	110	NUM	34	nummod
34	degrees	NOUN	25	obl
35	with	ADP	36	case
36	fires	NOUN	25	obl
37	,	PUNCT	25	punct
38	so	SCONJ	43	mark
39	that	SCONJ	38	fixed
40	they	PRON	43	nsubj
41	can	AUX	43	aux
42	periodically	ADV	43	advmod
43	scrape	VERB	25	advcl
44	the	DET	45	det
45	sweat	NOUN	43	obj
46	off	ADP	49	case
47	of	ADP	49	case
48	their	PRON	49	nmod:poss
49	genitals	NOUN	43	obl
50	and	CCONJ	51	cc
51	sell	VERB	43	conj
52	it	PRON	51	obj
53	to	ADP	55	case
54	corrupt	ADJ	55	amod
55	corporations	NOUN	51	obl
56	who	PRON	57	nsubj
57	use	VERB	55	acl:relcl
58	it	PRON	57	obj
59	to	PART	60	mark
60	prolong	VERB	57	xcomp
61	the	DET	62	det
62	scent	NOUN	60	obj
63	of	ADP	64	case
64	perfumes	NOUN	62	nmod
65	.	PUNCT	4	punct