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:
Then he renigged when he read my Health Care Proxy, even though i agreed to be on the ventilator for 2 months following surgery (as he had twice stated i must agree to).
Postion	Tokenization
1	Then
2	he
3	renigged
4	when
5	he
6	read
7	my
8	Health
9	Care
10	Proxy
11	,
12	even
13	though
14	i
15	agreed
16	to
17	be
18	on
19	the
20	ventilator
21	for
22	2
23	months
24	following
25	surgery
26	(
27	as
28	he
29	had
30	twice
31	stated
32	i
33	must
34	agree
35	to
36	)
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Then	ADV	3	advmod
2	he	PRON	3	nsubj
3	renigged	VERB	0	root
4	when	SCONJ	6	mark
5	he	PRON	6	nsubj
6	read	VERB	3	advcl
7	my	PRON	10	nmod:poss
8	Health	PROPN	9	compound
9	Care	PROPN	10	compound
10	Proxy	PROPN	6	obj
11	,	PUNCT	3	punct
12	even	ADV	15	advmod
13	though	SCONJ	15	mark
14	i	PRON	15	nsubj
15	agreed	VERB	3	advcl
16	to	PART	20	mark
17	be	AUX	20	cop
18	on	ADP	20	case
19	the	DET	20	det
20	ventilator	NOUN	15	xcomp
21	for	ADP	23	case
22	2	NUM	23	nummod
23	months	NOUN	20	obl
24	following	VERB	25	case
25	surgery	NOUN	20	obl
26	(	PUNCT	31	punct
27	as	SCONJ	31	mark
28	he	PRON	31	nsubj
29	had	AUX	31	aux
30	twice	ADV	31	advmod
31	stated	VERB	15	advcl
32	i	PRON	34	nsubj
33	must	AUX	34	aux
34	agree	VERB	31	ccomp
35	to	ADP	34	obl
36	)	PUNCT	31	punct
37	.	PUNCT	3	punct