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:
If they're going kinda slow and like fake biting (not biting as hard as they can), and fake scratching (not hitting as hard as they can with their paws) then they're playing.
Postion	Tokenization
1	If
2	they're
3	they
4	're
5	going
6	kinda
7	slow
8	and
9	like
10	fake
11	biting
12	(
13	not
14	biting
15	as
16	hard
17	as
18	they
19	can
20	)
21	,
22	and
23	fake
24	scratching
25	(
26	not
27	hitting
28	as
29	hard
30	as
31	they
32	can
33	with
34	their
35	paws
36	)
37	then
38	they're
39	they
40	're
41	playing
42	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	they're	_	None	_
3	they	PRON	4	nsubj
4	're	AUX	4	aux
5	going	VERB	39	advcl
6	kinda	ADV	6	advmod
7	slow	ADV	4	advmod
8	and	CCONJ	10	cc
9	like	INTJ	10	discourse
10	fake	ADJ	10	advmod
11	biting	VERB	4	conj
12	(	PUNCT	10	punct
13	not	PART	13	advmod
14	biting	VERB	10	advcl
15	as	ADV	15	advmod
16	hard	ADV	13	advmod
17	as	SCONJ	18	mark
18	they	PRON	18	nsubj
19	can	AUX	14	advcl
20	)	PUNCT	10	punct
21	,	PUNCT	23	punct
22	and	CCONJ	23	cc
23	fake	ADJ	23	advmod
24	scratching	VERB	10	conj
25	(	PUNCT	23	punct
26	not	PART	26	advmod
27	hitting	VERB	23	advcl
28	as	ADV	28	advmod
29	hard	ADV	26	advmod
30	as	SCONJ	31	mark
31	they	PRON	31	nsubj
32	can	AUX	27	advcl
33	with	ADP	34	case
34	their	PRON	34	nmod:poss
35	paws	NOUN	26	obl
36	)	PUNCT	23	punct
37	then	ADV	39	advmod
38	they're	_	None	_
39	they	PRON	39	nsubj
40	're	AUX	39	aux
41	playing	VERB	0	root
42	.	PUNCT	39	punct