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 is a horse that I otherwise wouldn't be able to afford and even if I spend 2K and treatment I come out ahead of his purchase price.
Postion	Tokenization
1	This
2	is
3	a
4	horse
5	that
6	I
7	otherwise
8	wouldn't
9	would
10	n't
11	be
12	able
13	to
14	afford
15	and
16	even
17	if
18	I
19	spend
20	2
21	K
22	and
23	treatment
24	I
25	come
26	out
27	ahead
28	of
29	his
30	purchase
31	price
32	.
Position	Tokenization	UPOS	Head	Deprel
1	This	PRON	4	nsubj
2	is	AUX	4	cop
3	a	DET	4	det
4	horse	NOUN	0	root
5	that	PRON	11	obj
6	I	PRON	11	nsubj
7	otherwise	ADV	11	advmod
8	wouldn't	_	None	_
9	would	AUX	11	aux
10	n't	PART	11	advmod
11	be	AUX	11	cop
12	able	ADJ	4	acl:relcl
13	to	PART	13	mark
14	afford	VERB	11	xcomp
15	and	CCONJ	24	cc
16	even	ADV	18	advmod
17	if	SCONJ	18	mark
18	I	PRON	18	nsubj
19	spend	VERB	24	advcl
20	2	NUM	20	nummod
21	K	NUM	18	obj
22	and	ADP	22	case
23	treatment	NOUN	18	obl
24	I	PRON	24	nsubj
25	come	VERB	4	conj
26	out	ADV	24	advmod
27	ahead	ADP	30	case
28	of	ADP	30	case
29	his	PRON	30	nmod:poss
30	purchase	NOUN	30	compound
31	price	NOUN	24	obl
32	.	PUNCT	4	punct