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:
Each provincial government has a website that lists the process for that Province so depending upon where you were born you can google it.
Postion	Tokenization
1	Each
2	provincial
3	government
4	has
5	a
6	website
7	that
8	lists
9	the
10	process
11	for
12	that
13	Province
14	so
15	depending
16	upon
17	where
18	you
19	were
20	born
21	you
22	can
23	google
24	it
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Each	DET	3	det
2	provincial	ADJ	3	amod
3	government	NOUN	4	nsubj
4	has	VERB	0	root
5	a	DET	6	det
6	website	NOUN	4	obj
7	that	PRON	8	nsubj
8	lists	VERB	6	acl:relcl
9	the	DET	10	det
10	process	NOUN	8	obj
11	for	ADP	13	case
12	that	DET	13	det
13	Province	PROPN	10	nmod
14	so	ADV	23	advmod
15	depending	VERB	20	mark
16	upon	SCONJ	20	mark
17	where	SCONJ	20	mark
18	you	PRON	20	nsubj:pass
19	were	AUX	20	aux:pass
20	born	VERB	23	obl
21	you	PRON	23	nsubj
22	can	AUX	23	aux
23	google	VERB	4	parataxis
24	it	PRON	23	obj
25	.	PUNCT	4	punct