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:
Generally they're not clawing and biting, they don't make nearly as much mess, they don't need nearly as much litterbox scooping, etc :)
Postion	Tokenization
1	Generally
2	they're
3	they
4	're
5	not
6	clawing
7	and
8	biting
9	,
10	they
11	don't
12	do
13	n't
14	make
15	nearly
16	as
17	much
18	mess
19	,
20	they
21	don't
22	do
23	n't
24	need
25	nearly
26	as
27	much
28	litterbox
29	scooping
30	,
31	etc
32	:)
Position	Tokenization	UPOS	Head	Deprel
1	Generally	ADV	5	advmod
2	they're	_	None	_
3	they	PRON	5	nsubj
4	're	AUX	5	aux
5	not	PART	5	advmod
6	clawing	VERB	0	root
7	and	CCONJ	7	cc
8	biting	VERB	5	conj
9	,	PUNCT	5	punct
10	they	PRON	12	nsubj
11	don't	_	None	_
12	do	AUX	12	aux
13	n't	PART	12	advmod
14	make	VERB	5	list
15	nearly	ADV	14	advmod
16	as	ADV	15	advmod
17	much	ADJ	16	amod
18	mess	NOUN	12	obj
19	,	PUNCT	5	punct
20	they	PRON	21	nsubj
21	don't	_	None	_
22	do	AUX	21	aux
23	n't	PART	21	advmod
24	need	VERB	5	list
25	nearly	ADV	24	advmod
26	as	ADV	24	advmod
27	much	ADJ	26	amod
28	litterbox	NOUN	26	compound
29	scooping	NOUN	21	obj
30	,	PUNCT	5	punct
31	etc	X	5	list
32	:)	SYM	5	discourse