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 text: Walked in and was outta there in 10 mins with a really good deal i thought i was going to be paying alot because i had a DUI but with my DUI and Sr-22 they were able to get me the best deal out there.
Position	Tokenization	UPOS	Head	Deprel
1	Walked	VERB	0	root
2	in	ADV	1	advmod
3	and	CCONJ	4	cc
4	was	VERB	1	conj
5	out	ADP	7	case
6	ta	ADP	7	case
7	there	ADV	4	obl
8	in	ADP	10	case
9	10	NUM	10	nummod
10	mins	NOUN	4	obl
11	with	ADP	15	case
12	a	DET	15	det
13	really	ADV	14	advmod
14	good	ADJ	15	amod
15	deal	NOUN	4	obl
16	i	PRON	17	nsubj
17	thought	VERB	1	parataxis
18	i	PRON	20	nsubj
19	was	AUX	20	aux
20	going	VERB	17	ccomp
21	to	PART	23	mark
22	be	AUX	23	aux
23	paying	VERB	20	xcomp
24	a	DET	25	det
25	lot	NOUN	23	obj
26	because	SCONJ	28	mark
27	i	PRON	28	nsubj
28	had	VERB	17	advcl
29	a	DET	30	det
30	DUI	NOUN	28	obj
31	but	CCONJ	41	cc
32	with	ADP	34	case
33	my	PRON	34	nmod:poss
34	DUI	NOUN	41	obl
35	and	CCONJ	36	cc
36	Sr	NOUN	34	conj
37	-	PUNCT	36	punct
38	22	NUM	36	nummod
39	they	PRON	41	nsubj
40	were	AUX	41	cop
41	able	ADJ	1	conj
42	to	PART	43	mark
43	get	VERB	41	xcomp
44	me	PRON	43	iobj
45	the	DET	47	det
46	best	ADJ	47	amod
47	deal	NOUN	43	obj
48	out	ADV	49	advmod
49	there	ADV	47	advmod
50	.	PUNCT	1	punct