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 shopped it around and they were extremely competitive in pricing and also added nitrogen to my tires which should extend the life and get me better gas mileage.
Postion	Tokenization
1	I
2	shopped
3	it
4	around
5	and
6	they
7	were
8	extremely
9	competitive
10	in
11	pricing
12	and
13	also
14	added
15	nitrogen
16	to
17	my
18	tires
19	which
20	should
21	extend
22	the
23	life
24	and
25	get
26	me
27	better
28	gas
29	mileage
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	shopped	VERB	0	root
3	it	PRON	2	obj
4	around	ADV	2	advmod
5	and	CCONJ	9	cc
6	they	PRON	9	nsubj
7	were	AUX	9	cop
8	extremely	ADV	9	advmod
9	competitive	ADJ	2	conj
10	in	ADP	11	case
11	pricing	NOUN	9	obl
12	and	CCONJ	14	cc
13	also	ADV	14	advmod
14	added	VERB	9	conj
15	nitrogen	NOUN	14	obj
16	to	ADP	18	case
17	my	PRON	18	nmod:poss
18	tires	NOUN	14	obl
19	which	PRON	21	nsubj
20	should	AUX	21	aux
21	extend	VERB	14	parataxis
22	the	DET	23	det
23	life	NOUN	21	obj
24	and	CCONJ	25	cc
25	get	VERB	21	conj
26	me	PRON	25	iobj
27	better	ADJ	29	amod
28	gas	NOUN	29	compound
29	mileage	NOUN	25	obj
30	.	PUNCT	2	punct