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 you want a doctor who will lie to you and say he will operate and then change his mind, and not know what he is talking about when he recommends procedures at other hospitals and says they are what you need, when they will not work for you, go to this doctor...he is the one for you.
Postion	Tokenization
1	If
2	you
3	want
4	a
5	doctor
6	who
7	will
8	lie
9	to
10	you
11	and
12	say
13	he
14	will
15	operate
16	and
17	then
18	change
19	his
20	mind
21	,
22	and
23	not
24	know
25	what
26	he
27	is
28	talking
29	about
30	when
31	he
32	recommends
33	procedures
34	at
35	other
36	hospitals
37	and
38	says
39	they
40	are
41	what
42	you
43	need
44	,
45	when
46	they
47	will
48	not
49	work
50	for
51	you
52	,
53	go
54	to
55	this
56	doctor
57	...
58	he
59	is
60	the
61	one
62	for
63	you
64	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	you	PRON	3	nsubj
3	want	VERB	53	advcl
4	a	DET	5	det
5	doctor	NOUN	3	obj
6	who	PRON	8	nsubj
7	will	AUX	8	aux
8	lie	VERB	5	acl:relcl
9	to	ADP	10	case
10	you	PRON	8	obl
11	and	CCONJ	12	cc
12	say	VERB	8	conj
13	he	PRON	15	nsubj
14	will	AUX	15	aux
15	operate	VERB	12	ccomp
16	and	CCONJ	18	cc
17	then	ADV	18	advmod
18	change	VERB	8	conj
19	his	PRON	20	nmod:poss
20	mind	NOUN	18	obj
21	,	PUNCT	24	punct
22	and	CCONJ	24	cc
23	not	PART	24	advmod
24	know	VERB	8	conj
25	what	PRON	28	obl
26	he	PRON	28	nsubj
27	is	AUX	28	aux
28	talking	VERB	24	ccomp
29	about	ADP	25	case
30	when	SCONJ	32	mark
31	he	PRON	32	nsubj
32	recommends	VERB	28	advcl
33	procedures	NOUN	32	obj
34	at	ADP	36	case
35	other	ADJ	36	amod
36	hospitals	NOUN	33	nmod
37	and	CCONJ	38	cc
38	says	VERB	32	conj
39	they	PRON	40	nsubj
40	are	VERB	38	ccomp
41	what	PRON	43	obj
42	you	PRON	43	nsubj
43	need	VERB	40	ccomp
44	,	PUNCT	38	punct
45	when	SCONJ	49	mark
46	they	PRON	49	nsubj
47	will	AUX	49	aux
48	not	PART	49	advmod
49	work	VERB	38	advcl
50	for	ADP	51	case
51	you	PRON	49	obl
52	,	PUNCT	53	punct
53	go	VERB	0	root
54	to	ADP	56	case
55	this	DET	56	det
56	doctor	NOUN	53	obl
57	...	PUNCT	53	punct
58	he	PRON	61	nsubj
59	is	AUX	61	cop
60	the	DET	61	det
61	one	NOUN	53	parataxis
62	for	ADP	63	case
63	you	PRON	61	nmod
64	.	PUNCT	53	punct