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:
Even my PA i went to the other day said "it must by comforting to have gone to a heart surgeon like him who will do nothing for you".
Postion	Tokenization
1	Even
2	my
3	PA
4	i
5	went
6	to
7	the
8	other
9	day
10	said
11	"
12	it
13	must
14	by
15	comforting
16	to
17	have
18	gone
19	to
20	a
21	heart
22	surgeon
23	like
24	him
25	who
26	will
27	do
28	nothing
29	for
30	you
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Even	ADV	3	advmod
2	my	PRON	3	nmod:poss
3	PA	PROPN	10	nsubj
4	i	PRON	5	nsubj
5	went	VERB	3	acl:relcl
6	to	ADP	5	obl
7	the	DET	9	det
8	other	ADJ	9	amod
9	day	NOUN	5	obl:tmod
10	said	VERB	0	root
11	"	PUNCT	15	punct
12	it	PRON	15	expl
13	must	AUX	14	aux
14	by	VERB	10	ccomp
15	comforting	ADJ	14	xcomp
16	to	PART	18	mark
17	have	AUX	18	aux
18	gone	VERB	14	csubj
19	to	ADP	22	case
20	a	DET	22	det
21	heart	NOUN	22	compound
22	surgeon	NOUN	18	obl
23	like	ADP	24	case
24	him	PRON	22	nmod
25	who	PRON	27	nsubj
26	will	AUX	27	aux
27	do	VERB	22	acl:relcl
28	nothing	PRON	27	obj
29	for	ADP	30	case
30	you	PRON	27	obl
31	"	PUNCT	15	punct
32	.	PUNCT	10	punct