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:
Additional printed copies should be available within the next day or so and I will make them available to all of you - just let me know how many copies you need.
Postion	Tokenization
1	Additional
2	printed
3	copies
4	should
5	be
6	available
7	within
8	the
9	next
10	day
11	or
12	so
13	and
14	I
15	will
16	make
17	them
18	available
19	to
20	all
21	of
22	you
23	-
24	just
25	let
26	me
27	know
28	how
29	many
30	copies
31	you
32	need
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Additional	ADJ	3	amod
2	printed	VERB	3	amod
3	copies	NOUN	6	nsubj
4	should	AUX	6	aux
5	be	AUX	6	cop
6	available	ADJ	0	root
7	within	ADP	10	case
8	the	DET	10	det
9	next	ADJ	10	amod
10	day	NOUN	6	obl
11	or	CCONJ	12	cc
12	so	ADV	10	conj
13	and	CCONJ	16	cc
14	I	PRON	16	nsubj
15	will	AUX	16	aux
16	make	VERB	6	conj
17	them	PRON	18	nsubj
18	available	ADJ	16	ccomp
19	to	ADP	20	case
20	all	DET	18	obl
21	of	ADP	22	case
22	you	PRON	20	nmod
23	-	PUNCT	6	punct
24	just	ADV	25	advmod
25	let	VERB	6	parataxis
26	me	PRON	25	obj
27	know	VERB	25	xcomp
28	how	SCONJ	29	mark
29	many	ADJ	30	amod
30	copies	NOUN	32	obj
31	you	PRON	32	nsubj
32	need	VERB	27	ccomp
33	.	PUNCT	6	punct