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:
On the other hand, this is essentially a statement that the company is overpriced from the guy who knows it best -- and happens to be the best investor of the last century.
Postion	Tokenization
1	On
2	the
3	other
4	hand
5	,
6	this
7	is
8	essentially
9	a
10	statement
11	that
12	the
13	company
14	is
15	overpriced
16	from
17	the
18	guy
19	who
20	knows
21	it
22	best
23	--
24	and
25	happens
26	to
27	be
28	the
29	best
30	investor
31	of
32	the
33	last
34	century
35	.
Position	Tokenization	UPOS	Head	Deprel
1	On	ADP	4	case
2	the	DET	4	det
3	other	ADJ	4	amod
4	hand	NOUN	10	obl
5	,	PUNCT	10	punct
6	this	PRON	10	nsubj
7	is	AUX	10	cop
8	essentially	ADV	10	advmod
9	a	DET	10	det
10	statement	NOUN	0	root
11	that	SCONJ	15	mark
12	the	DET	13	det
13	company	NOUN	15	nsubj
14	is	AUX	15	cop
15	overpriced	ADJ	10	acl
16	from	ADP	18	case
17	the	DET	18	det
18	guy	NOUN	10	nmod
19	who	PRON	20	nsubj
20	knows	VERB	18	acl:relcl
21	it	PRON	20	obj
22	best	ADV	20	advmod
23	--	PUNCT	20	punct
24	and	CCONJ	25	cc
25	happens	VERB	20	conj
26	to	PART	30	mark
27	be	AUX	30	cop
28	the	DET	30	det
29	best	ADJ	30	amod
30	investor	NOUN	25	xcomp
31	of	ADP	34	case
32	the	DET	34	det
33	last	ADJ	34	amod
34	century	NOUN	30	nmod
35	.	PUNCT	10	punct