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:
By the end of 2005 you'll have a whole new start with regard to your career and your earning potential - and a possible new partnership to top it off!
Postion	Tokenization
1	By
2	the
3	end
4	of
5	2005
6	you'll
7	you
8	'll
9	have
10	a
11	whole
12	new
13	start
14	with
15	regard
16	to
17	your
18	career
19	and
20	your
21	earning
22	potential
23	-
24	and
25	a
26	possible
27	new
28	partnership
29	to
30	top
31	it
32	off
33	!
Position	Tokenization	UPOS	Head	Deprel
1	By	ADP	3	case
2	the	DET	3	det
3	end	NOUN	8	obl
4	of	ADP	5	case
5	2005	NUM	3	nmod
6	you'll	_	None	_
7	you	PRON	8	nsubj
8	'll	AUX	8	aux
9	have	VERB	0	root
10	a	DET	12	det
11	whole	ADJ	12	amod
12	new	ADJ	12	amod
13	start	NOUN	8	obj
14	with	ADP	14	case
15	regard	NOUN	12	nmod
16	to	ADP	17	case
17	your	PRON	17	nmod:poss
18	career	NOUN	14	nmod
19	and	CCONJ	21	cc
20	your	PRON	21	nmod:poss
21	earning	NOUN	21	compound
22	potential	NOUN	17	conj
23	-	PUNCT	12	punct
24	and	CCONJ	27	cc
25	a	DET	27	det
26	possible	ADJ	27	amod
27	new	ADJ	27	amod
28	partnership	NOUN	12	conj
29	to	PART	29	mark
30	top	VERB	27	acl
31	it	PRON	29	obj
32	off	ADP	29	compound:prt
33	!	PUNCT	8	punct