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:
I just finish reading a really good book (it was actually a ebook) from some new series called the The Tale of Terra.
Postion	Tokenization
1	I
2	just
3	finish
4	reading
5	a
6	really
7	good
8	book
9	(
10	it
11	was
12	actually
13	a
14	ebook
15	)
16	from
17	some
18	new
19	series
20	called
21	the
22	The
23	Tale
24	of
25	Terra
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	just	ADV	3	advmod
3	finish	VERB	0	root
4	reading	VERB	3	xcomp
5	a	DET	8	det
6	really	ADV	7	advmod
7	good	ADJ	8	amod
8	book	NOUN	4	obj
9	(	PUNCT	14	punct
10	it	PRON	14	nsubj
11	was	AUX	14	cop
12	actually	ADV	14	advmod
13	a	DET	14	det
14	ebook	NOUN	8	parataxis
15	)	PUNCT	14	punct
16	from	ADP	19	case
17	some	DET	19	det
18	new	ADJ	19	amod
19	series	NOUN	8	nmod
20	called	VERB	19	acl
21	the	DET	23	reparandum
22	The	DET	23	det
23	Tale	PROPN	20	xcomp
24	of	ADP	25	case
25	Terra	PROPN	23	nmod
26	.	PUNCT	3	punct