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:
If I had time to drive to Tacoma before they closed during the work week, I would just so I could get those boots fixed properly again.
Postion	Tokenization
1	If
2	I
3	had
4	time
5	to
6	drive
7	to
8	Tacoma
9	before
10	they
11	closed
12	during
13	the
14	work
15	week
16	,
17	I
18	would
19	just
20	so
21	I
22	could
23	get
24	those
25	boots
26	fixed
27	properly
28	again
29	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	I	PRON	3	nsubj
3	had	VERB	23	advcl
4	time	NOUN	3	obj
5	to	PART	6	mark
6	drive	VERB	4	acl
7	to	ADP	8	case
8	Tacoma	PROPN	6	obl
9	before	SCONJ	11	mark
10	they	PRON	11	nsubj
11	closed	VERB	6	advcl
12	during	ADP	15	case
13	the	DET	15	det
14	work	NOUN	15	compound
15	week	NOUN	11	obl
16	,	PUNCT	23	punct
17	I	PRON	23	nsubj
18	would	AUX	23	aux
19	just	ADV	23	advmod
20	so	SCONJ	23	mark
21	I	PRON	23	nsubj
22	could	AUX	23	aux
23	get	VERB	0	root
24	those	DET	25	det
25	boots	NOUN	23	obj
26	fixed	VERB	23	xcomp
27	properly	ADV	26	advmod
28	again	ADV	26	advmod
29	.	PUNCT	23	punct