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:
Harry also had a good comment---don't specify the amount of rate increase in our comments; rather note that the rate increase needs to be well-reasoned and based on facts and evidence.
Postion	Tokenization
1	Harry
2	also
3	had
4	a
5	good
6	comment
7	---
8	do
9	n't
10	specify
11	the
12	amount
13	of
14	rate
15	increase
16	in
17	our
18	comments
19	;
20	rather
21	note
22	that
23	the
24	rate
25	increase
26	needs
27	to
28	be
29	well
30	-
31	reasoned
32	and
33	based
34	on
35	facts
36	and
37	evidence
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Harry	PROPN	3	nsubj
2	also	ADV	3	advmod
3	had	VERB	0	root
4	a	DET	6	det
5	good	ADJ	6	amod
6	comment	NOUN	3	obj
7	---	PUNCT	6	punct
8	do	AUX	10	aux
9	n't	PART	10	advmod
10	specify	VERB	6	appos
11	the	DET	12	det
12	amount	NOUN	10	obj
13	of	ADP	15	case
14	rate	NOUN	15	compound
15	increase	NOUN	12	nmod
16	in	ADP	18	case
17	our	PRON	18	nmod:poss
18	comments	NOUN	10	obl
19	;	PUNCT	10	punct
20	rather	ADV	21	mark
21	note	VERB	10	advcl
22	that	SCONJ	26	mark
23	the	DET	25	det
24	rate	NOUN	25	compound
25	increase	NOUN	26	nsubj
26	needs	VERB	21	ccomp
27	to	PART	31	mark
28	be	VERB	31	aux:pass
29	well	ADV	31	advmod
30	-	PUNCT	31	punct
31	reasoned	VERB	26	xcomp
32	and	CCONJ	33	cc
33	based	VERB	31	conj
34	on	ADP	35	case
35	facts	NOUN	33	obl
36	and	CCONJ	37	cc
37	evidence	NOUN	35	conj
38	.	PUNCT	3	punct