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:
lots of them, feather ones work best, also when he bites you in the morning put him down off your bed, to show him that you will not tolerate that, he will get it, hes also probably teething, so toys are your best bet
Postion	Tokenization
1	lots
2	of
3	them
4	,
5	feather
6	ones
7	work
8	best
9	,
10	also
11	when
12	he
13	bites
14	you
15	in
16	the
17	morning
18	put
19	him
20	down
21	off
22	your
23	bed
24	,
25	to
26	show
27	him
28	that
29	you
30	will
31	not
32	tolerate
33	that
34	,
35	he
36	will
37	get
38	it
39	,
40	hes
41	he
42	s
43	also
44	probably
45	teething
46	,
47	so
48	toys
49	are
50	your
51	best
52	bet
Position	Tokenization	UPOS	Head	Deprel
1	lots	NOUN	0	root
2	of	ADP	3	case
3	them	PRON	1	nmod
4	,	PUNCT	1	punct
5	feather	NOUN	6	compound
6	ones	NOUN	7	nsubj
7	work	VERB	1	parataxis
8	best	ADV	7	advmod
9	,	PUNCT	1	punct
10	also	ADV	18	advmod
11	when	SCONJ	13	mark
12	he	PRON	13	nsubj
13	bites	VERB	18	advcl
14	you	PRON	13	obj
15	in	ADP	17	case
16	the	DET	17	det
17	morning	NOUN	13	obl
18	put	VERB	1	parataxis
19	him	PRON	18	obj
20	down	ADP	18	compound:prt
21	off	ADP	23	case
22	your	PRON	23	nmod:poss
23	bed	NOUN	18	obl
24	,	PUNCT	18	punct
25	to	PART	26	mark
26	show	VERB	18	advcl
27	him	PRON	26	obj
28	that	SCONJ	32	mark
29	you	PRON	32	nsubj
30	will	AUX	32	aux
31	not	PART	32	advmod
32	tolerate	VERB	26	ccomp
33	that	PRON	32	obj
34	,	PUNCT	1	punct
35	he	PRON	37	nsubj
36	will	AUX	37	aux
37	get	VERB	18	parataxis
38	it	PRON	37	obj
39	,	PUNCT	1	punct
40	hes	_	None	_
41	he	PRON	44	nsubj
42	s	AUX	44	aux
43	also	ADV	44	advmod
44	probably	ADV	44	advmod
45	teething	VERB	1	parataxis
46	,	PUNCT	44	punct
47	so	SCONJ	51	mark
48	toys	NOUN	51	nsubj
49	are	AUX	51	cop
50	your	PRON	51	nmod:poss
51	best	ADJ	51	amod
52	bet	NOUN	44	advcl