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:
Besides being a murderer, John Lennon had sexual intercourse with homosexual Brian Epstein to get him interested in going to see the band at the Cavern, trauma from which he never recovered.
Postion	Tokenization
1	Besides
2	being
3	a
4	murderer
5	,
6	John
7	Lennon
8	had
9	sexual
10	intercourse
11	with
12	homosexual
13	Brian
14	Epstein
15	to
16	get
17	him
18	interested
19	in
20	going
21	to
22	see
23	the
24	band
25	at
26	the
27	Cavern
28	,
29	trauma
30	from
31	which
32	he
33	never
34	recovered
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Besides	SCONJ	4	mark
2	being	AUX	4	cop
3	a	DET	4	det
4	murderer	NOUN	8	advcl
5	,	PUNCT	8	punct
6	John	PROPN	8	nsubj
7	Lennon	PROPN	6	flat
8	had	VERB	29	parataxis
9	sexual	ADJ	10	amod
10	intercourse	NOUN	8	obj
11	with	ADP	13	case
12	homosexual	NOUN	13	compound
13	Brian	PROPN	10	nmod
14	Epstein	PROPN	13	flat
15	to	PART	16	mark
16	get	VERB	8	advcl
17	him	PRON	16	obj
18	interested	ADJ	16	xcomp
19	in	SCONJ	20	mark
20	going	VERB	18	advcl
21	to	PART	22	mark
22	see	VERB	20	xcomp
23	the	DET	24	det
24	band	NOUN	22	obj
25	at	ADP	27	case
26	the	DET	27	det
27	Cavern	PROPN	22	obl
28	,	PUNCT	29	punct
29	trauma	NOUN	0	root
30	from	ADP	31	case
31	which	PRON	34	obl
32	he	PRON	34	nsubj
33	never	ADV	34	advmod
34	recovered	VERB	29	acl:relcl
35	.	PUNCT	29	punct