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 text: i am deadly serious, i really do get sexual releif from even hearing of torture of animals, now some people may call me a brute or a coward but i cant help my true feelings.
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	4	nsubj
2	am	AUX	4	cop
3	deadly	ADV	4	advmod
4	serious	ADJ	0	root
5	,	PUNCT	4	punct
6	i	PRON	9	nsubj
7	really	ADV	9	advmod
8	do	AUX	9	aux
9	get	VERB	4	parataxis
10	sexual	ADJ	11	amod
11	releif	NOUN	9	obj
12	from	SCONJ	14	mark
13	even	ADV	14	advmod
14	hearing	VERB	9	advcl
15	of	ADP	16	case
16	torture	NOUN	14	obl
17	of	ADP	18	case
18	animals	NOUN	16	nmod
19	,	PUNCT	4	punct
20	now	ADV	24	advmod
21	some	DET	22	det
22	people	NOUN	24	nsubj
23	may	AUX	24	aux
24	call	VERB	4	parataxis
25	me	PRON	24	obj
26	a	DET	27	det
27	brute	NOUN	25	xcomp
28	or	CCONJ	30	cc
29	a	DET	30	det
30	coward	NOUN	27	conj
31	but	CCONJ	35	cc
32	i	PRON	35	nsubj
33	cant	_	None	_
34	ca	AUX	35	aux
35	nt	PART	35	advmod
36	help	VERB	24	conj
37	my	PRON	38	nmod:poss
38	true	ADJ	38	amod
39	feelings	NOUN	35	obj
40	.	PUNCT	4	punct