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:
$205m - Amount Enron CEO Kenneth Lay earned from stock option profits over a four-year period.
Postion	Tokenization
1	$
2	205
3	m
4	-
5	Amount
6	Enron
7	CEO
8	Kenneth
9	Lay
10	earned
11	from
12	stock
13	option
14	profits
15	over
16	a
17	four
18	-
19	year
20	period
21	.
Position	Tokenization	UPOS	Head	Deprel
1	$	SYM	0	root
2	205	NUM	3	compound
3	m	NUM	1	nummod
4	-	PUNCT	1	punct
5	Amount	NOUN	1	appos
6	Enron	PROPN	7	compound
7	CEO	NOUN	8	compound
8	Kenneth	PROPN	10	nsubj
9	Lay	PROPN	8	flat
10	earned	VERB	5	acl:relcl
11	from	ADP	14	case
12	stock	NOUN	13	compound
13	option	NOUN	14	compound
14	profits	NOUN	10	obl
15	over	ADP	20	case
16	a	DET	20	det
17	four	NUM	19	nummod
18	-	PUNCT	19	punct
19	year	NOUN	20	compound
20	period	NOUN	10	obl
21	.	PUNCT	1	punct