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:
Already I'm considering future projects, and I can assure you that for my printing needs I will be choosing no other than Atlanta Paperback Book Printing.
Postion	Tokenization
1	Already
2	I'm
3	I
4	'm
5	considering
6	future
7	projects
8	,
9	and
10	I
11	can
12	assure
13	you
14	that
15	for
16	my
17	printing
18	needs
19	I
20	will
21	be
22	choosing
23	no
24	other
25	than
26	Atlanta
27	Paperback
28	Book
29	Printing
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Already	ADV	4	advmod
2	I'm	_	None	_
3	I	PRON	4	nsubj
4	'm	AUX	4	aux
5	considering	VERB	0	root
6	future	ADJ	6	amod
7	projects	NOUN	4	obj
8	,	PUNCT	11	punct
9	and	CCONJ	11	cc
10	I	PRON	11	nsubj
11	can	AUX	11	aux
12	assure	VERB	4	conj
13	you	PRON	11	obj
14	that	SCONJ	21	mark
15	for	ADP	17	case
16	my	PRON	17	nmod:poss
17	printing	NOUN	17	compound
18	needs	NOUN	21	obl
19	I	PRON	21	nsubj
20	will	AUX	21	aux
21	be	AUX	21	aux
22	choosing	VERB	11	ccomp
23	no	DET	23	det
24	other	ADJ	21	obj
25	than	ADP	28	case
26	Atlanta	PROPN	28	compound
27	Paperback	PROPN	27	compound
28	Book	PROPN	28	compound
29	Printing	PROPN	23	obl
30	.	PUNCT	4	punct