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:
The Beatles of the times of the "Cavern" sounded exactly as poorly as Oasis and the little musical quality in the songs of the Beatles is due to George Martin.
Postion	Tokenization
1	The
2	Beatles
3	of
4	the
5	times
6	of
7	the
8	"
9	Cavern
10	"
11	sounded
12	exactly
13	as
14	poorly
15	as
16	Oasis
17	and
18	the
19	little
20	musical
21	quality
22	in
23	the
24	songs
25	of
26	the
27	Beatles
28	is
29	due
30	to
31	George
32	Martin
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	Beatles	PROPN	11	nsubj
3	of	ADP	5	case
4	the	DET	5	det
5	times	NOUN	2	nmod
6	of	ADP	9	case
7	the	DET	9	det
8	"	PUNCT	9	punct
9	Cavern	PROPN	5	nmod
10	"	PUNCT	9	punct
11	sounded	VERB	0	root
12	exactly	ADV	14	advmod
13	as	ADV	14	advmod
14	poorly	ADV	11	advmod
15	as	ADP	16	case
16	Oasis	PROPN	13	obl
17	and	CCONJ	31	cc
18	the	DET	21	det
19	little	ADJ	21	amod
20	musical	ADJ	21	amod
21	quality	NOUN	31	nsubj
22	in	ADP	24	case
23	the	DET	24	det
24	songs	NOUN	21	nmod
25	of	ADP	27	case
26	the	DET	27	det
27	Beatles	PROPN	24	nmod
28	is	AUX	31	cop
29	due	ADP	31	case
30	to	ADP	29	fixed
31	George	PROPN	11	conj
32	Martin	PROPN	31	flat
33	.	PUNCT	11	punct