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:
I cant speak for them but any tests or appointments they recommend are probably in the best interests of us (the patient) and you have the ability to decline anything that they suggest to you.
Postion	Tokenization
1	I
2	cant
3	ca
4	nt
5	speak
6	for
7	them
8	but
9	any
10	tests
11	or
12	appointments
13	they
14	recommend
15	are
16	probably
17	in
18	the
19	best
20	interests
21	of
22	us
23	(
24	the
25	patient
26	)
27	and
28	you
29	have
30	the
31	ability
32	to
33	decline
34	anything
35	that
36	they
37	suggest
38	to
39	you
40	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	cant	_	None	_
3	ca	AUX	4	aux
4	nt	PART	4	advmod
5	speak	VERB	0	root
6	for	ADP	6	case
7	them	PRON	4	obl
8	but	CCONJ	19	cc
9	any	DET	9	det
10	tests	NOUN	19	nsubj
11	or	CCONJ	11	cc
12	appointments	NOUN	9	conj
13	they	PRON	13	nsubj
14	recommend	VERB	9	acl:relcl
15	are	AUX	19	cop
16	probably	ADV	19	advmod
17	in	ADP	19	case
18	the	DET	19	det
19	best	ADJ	19	amod
20	interests	NOUN	4	conj
21	of	ADP	21	case
22	us	PRON	19	nmod
23	(	PUNCT	24	punct
24	the	DET	24	det
25	patient	NOUN	21	appos
26	)	PUNCT	24	punct
27	and	CCONJ	28	cc
28	you	PRON	28	nsubj
29	have	VERB	19	conj
30	the	DET	30	det
31	ability	NOUN	28	obj
32	to	PART	32	mark
33	decline	VERB	30	acl
34	anything	PRON	32	obj
35	that	PRON	36	obj
36	they	PRON	36	nsubj
37	suggest	VERB	33	acl:relcl
38	to	ADP	38	case
39	you	PRON	36	obl
40	.	PUNCT	4	punct