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 have use them four times for fixing items from pushing out a dent in a bumper to fixing the fender on my beloved Miata.
Postion	Tokenization
1	I
2	have
3	use
4	them
5	four
6	times
7	for
8	fixing
9	items
10	from
11	pushing
12	out
13	a
14	dent
15	in
16	a
17	bumper
18	to
19	fixing
20	the
21	fender
22	on
23	my
24	beloved
25	Miata
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	have	AUX	3	aux
3	use	VERB	0	root
4	them	PRON	3	obj
5	four	NUM	6	nummod
6	times	NOUN	3	obl:npmod
7	for	SCONJ	8	mark
8	fixing	VERB	3	advcl
9	items	NOUN	8	obj
10	from	SCONJ	11	mark
11	pushing	VERB	8	advcl
12	out	ADP	11	compound:prt
13	a	DET	14	det
14	dent	NOUN	11	obj
15	in	ADP	17	case
16	a	DET	17	det
17	bumper	NOUN	14	nmod
18	to	SCONJ	19	mark
19	fixing	VERB	8	advcl
20	the	DET	21	det
21	fender	NOUN	19	obj
22	on	ADP	25	case
23	my	PRON	25	nmod:poss
24	beloved	ADJ	25	amod
25	Miata	PROPN	21	nmod
26	.	PUNCT	3	punct