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:
Wow he does sound interested in you, my farrier never gives me hugs like that (probably a good thing as he has a wife and 2 kids) anyway, I find that they can be very busy so I would wait a week lo9nger and if still no reply give him a call but don’t leave a message so you don’t have to necessarily wait for him to call.
Postion	Tokenization
1	Wow
2	he
3	does
4	sound
5	interested
6	in
7	you
8	,
9	my
10	farrier
11	never
12	gives
13	me
14	hugs
15	like
16	that
17	(
18	probably
19	a
20	good
21	thing
22	as
23	he
24	has
25	a
26	wife
27	and
28	2
29	kids
30	)
31	anyway
32	,
33	I
34	find
35	that
36	they
37	can
38	be
39	very
40	busy
41	so
42	I
43	would
44	wait
45	a
46	week
47	lo9nger
48	and
49	if
50	still
51	no
52	reply
53	give
54	him
55	a
56	call
57	but
58	don’t
59	do
60	n’t
61	leave
62	a
63	message
64	so
65	you
66	don’t
67	do
68	n’t
69	have
70	to
71	necessarily
72	wait
73	for
74	him
75	to
76	call
77	.
Position	Tokenization	UPOS	Head	Deprel
1	Wow	INTJ	4	discourse
2	he	PRON	4	nsubj
3	does	AUX	4	aux
4	sound	VERB	0	root
5	interested	ADJ	4	xcomp
6	in	ADP	7	case
7	you	PRON	5	obl
8	,	PUNCT	12	punct
9	my	PRON	10	nmod:poss
10	farrier	NOUN	12	nsubj
11	never	ADV	12	advmod
12	gives	VERB	4	conj
13	me	PRON	12	iobj
14	hugs	NOUN	12	obj
15	like	ADP	16	case
16	that	PRON	14	nmod
17	(	PUNCT	21	punct
18	probably	ADV	21	advmod
19	a	DET	21	det
20	good	ADJ	21	amod
21	thing	NOUN	12	parataxis
22	as	SCONJ	24	mark
23	he	PRON	24	nsubj
24	has	VERB	21	advcl
25	a	DET	26	det
26	wife	NOUN	24	obj
27	and	CCONJ	29	cc
28	2	NUM	29	nummod
29	kids	NOUN	26	conj
30	)	PUNCT	21	punct
31	anyway	INTJ	34	discourse
32	,	PUNCT	34	punct
33	I	PRON	34	nsubj
34	find	VERB	4	parataxis
35	that	SCONJ	40	mark
36	they	PRON	40	nsubj
37	can	AUX	40	aux
38	be	AUX	40	cop
39	very	ADV	40	advmod
40	busy	ADJ	34	ccomp
41	so	ADV	44	advmod
42	I	PRON	44	nsubj
43	would	AUX	44	aux
44	wait	VERB	4	parataxis
45	a	DET	46	det
46	week	NOUN	44	obj
47	lo9nger	ADV	46	advmod
48	and	CCONJ	53	cc
49	if	SCONJ	52	mark
50	still	ADV	52	advmod
51	no	DET	52	det
52	reply	NOUN	53	csubj
53	give	VERB	4	conj
54	him	PRON	53	iobj
55	a	DET	56	det
56	call	NOUN	53	obj
57	but	CCONJ	60	cc
58	don’t	_	None	_
59	do	AUX	60	aux
60	n’t	PART	60	advmod
61	leave	VERB	4	conj
62	a	DET	62	det
63	message	NOUN	60	obj
64	so	SCONJ	67	mark
65	you	PRON	67	nsubj
66	don’t	_	None	_
67	do	AUX	67	aux
68	n’t	PART	67	advmod
69	have	VERB	60	advcl
70	to	PART	70	mark
71	necessarily	ADV	70	advmod
72	wait	VERB	67	xcomp
73	for	SCONJ	74	mark
74	him	PRON	74	nsubj
75	to	PART	74	mark
76	call	VERB	70	advcl
77	.	PUNCT	4	punct