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:
This deviation shows that Eco definitely has a significant amount of option value which can be exploited with quick reactions and favourable market movements.
Postion	Tokenization
1	This
2	deviation
3	shows
4	that
5	Eco
6	definitely
7	has
8	a
9	significant
10	amount
11	of
12	option
13	value
14	which
15	can
16	be
17	exploited
18	with
19	quick
20	reactions
21	and
22	favourable
23	market
24	movements
25	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	2	det
2	deviation	NOUN	3	nsubj
3	shows	VERB	0	root
4	that	SCONJ	7	mark
5	Eco	PROPN	7	nsubj
6	definitely	ADV	7	advmod
7	has	VERB	3	ccomp
8	a	DET	10	det
9	significant	ADJ	10	amod
10	amount	NOUN	7	obj
11	of	ADP	13	case
12	option	NOUN	13	compound
13	value	NOUN	10	nmod
14	which	PRON	17	nsubj:pass
15	can	AUX	17	aux
16	be	AUX	17	aux:pass
17	exploited	VERB	10	acl:relcl
18	with	ADP	20	case
19	quick	ADJ	20	amod
20	reactions	NOUN	17	obl
21	and	CCONJ	24	cc
22	favourable	ADJ	24	amod
23	market	NOUN	24	compound
24	movements	NOUN	20	conj
25	.	PUNCT	3	punct