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:
As a result of that, she has managed on several occasions over the years to detract from my enjoyment of playing Trivial Pursuit or watching Jeopardy by absolutely obliterating me (The girl actually did her senior thesis on Trivia).
Postion	Tokenization
1	As
2	a
3	result
4	of
5	that
6	,
7	she
8	has
9	managed
10	on
11	several
12	occasions
13	over
14	the
15	years
16	to
17	detract
18	from
19	my
20	enjoyment
21	of
22	playing
23	Trivial
24	Pursuit
25	or
26	watching
27	Jeopardy
28	by
29	absolutely
30	obliterating
31	me
32	(
33	The
34	girl
35	actually
36	did
37	her
38	senior
39	thesis
40	on
41	Trivia
42	)
43	.
Position	Tokenization	UPOS	Head	Deprel
1	As	ADP	3	case
2	a	DET	3	det
3	result	NOUN	9	obl
4	of	ADP	5	case
5	that	PRON	3	nmod
6	,	PUNCT	9	punct
7	she	PRON	9	nsubj
8	has	AUX	9	aux
9	managed	VERB	0	root
10	on	ADP	12	case
11	several	ADJ	12	amod
12	occasions	NOUN	9	obl
13	over	ADP	15	case
14	the	DET	15	det
15	years	NOUN	9	obl
16	to	PART	17	mark
17	detract	VERB	9	xcomp
18	from	ADP	20	case
19	my	PRON	20	nmod:poss
20	enjoyment	NOUN	17	obl
21	of	SCONJ	22	mark
22	playing	VERB	20	acl
23	Trivial	PROPN	24	compound
24	Pursuit	PROPN	22	obj
25	or	CCONJ	26	cc
26	watching	VERB	22	conj
27	Jeopardy	PROPN	26	obj
28	by	SCONJ	30	mark
29	absolutely	ADV	30	advmod
30	obliterating	VERB	17	advcl
31	me	PRON	30	obj
32	(	PUNCT	36	punct
33	The	DET	34	det
34	girl	NOUN	36	nsubj
35	actually	ADV	36	advmod
36	did	VERB	9	parataxis
37	her	PRON	39	nmod:poss
38	senior	ADJ	39	amod
39	thesis	NOUN	36	obj
40	on	ADP	41	case
41	Trivia	NOUN	39	nmod
42	)	PUNCT	36	punct
43	.	PUNCT	9	punct