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 would have had to because with the economy the way it is i aint haves much monies fo repairs round the House....
Postion	Tokenization
1	I
2	would
3	have
4	had
5	to
6	because
7	with
8	the
9	economy
10	the
11	way
12	it
13	is
14	i
15	aint
16	ai
17	nt
18	haves
19	much
20	monies
21	fo
22	repairs
23	round
24	the
25	House
26	....
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	would	AUX	4	aux
3	have	AUX	4	aux
4	had	VERB	0	root
5	to	PART	4	xcomp
6	because	SCONJ	17	mark
7	with	SCONJ	11	case
8	the	DET	9	det
9	economy	NOUN	11	nsubj
10	the	DET	11	det
11	way	NOUN	17	obl
12	it	PRON	13	nsubj
13	is	VERB	11	acl:relcl
14	i	PRON	17	nsubj
15	aint	_	None	_
16	ai	AUX	17	aux
17	nt	PART	17	advmod
18	haves	VERB	4	advcl
19	much	ADJ	19	amod
20	monies	NOUN	17	obj
21	fo	ADP	21	case
22	repairs	NOUN	19	nmod
23	round	ADP	24	case
24	the	DET	24	det
25	House	NOUN	21	nmod
26	....	PUNCT	4	punct