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:
As I watched my mother and father's health deteriorate and ultimately watched them die, it is a very defining time in our lives.
Postion	Tokenization
1	As
2	I
3	watched
4	my
5	mother
6	and
7	father's
8	father
9	's
10	health
11	deteriorate
12	and
13	ultimately
14	watched
15	them
16	die
17	,
18	it
19	is
20	a
21	very
22	defining
23	time
24	in
25	our
26	lives
27	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	3	mark
2	I	PRON	3	nsubj
3	watched	VERB	22	advcl
4	my	PRON	5	nmod:poss
5	mother	NOUN	9	nmod:poss
6	and	CCONJ	7	cc
7	father's	_	None	_
8	father	NOUN	5	conj
9	's	PART	7	case
10	health	NOUN	10	nsubj
11	deteriorate	VERB	3	ccomp
12	and	CCONJ	13	cc
13	ultimately	ADV	13	advmod
14	watched	VERB	3	conj
15	them	PRON	15	nsubj
16	die	VERB	13	ccomp
17	,	PUNCT	22	punct
18	it	PRON	22	nsubj
19	is	AUX	22	cop
20	a	DET	22	det
21	very	ADV	21	advmod
22	defining	ADJ	22	amod
23	time	NOUN	0	root
24	in	ADP	25	case
25	our	PRON	25	nmod:poss
26	lives	NOUN	22	nmod
27	.	PUNCT	22	punct