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:
You may regard my views as those of the proverbial taxi driver, which you are supposed to question, when you visit a country.
Postion	Tokenization
1	You
2	may
3	regard
4	my
5	views
6	as
7	those
8	of
9	the
10	proverbial
11	taxi
12	driver
13	,
14	which
15	you
16	are
17	supposed
18	to
19	question
20	,
21	when
22	you
23	visit
24	a
25	country
26	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	3	nsubj
2	may	AUX	3	aux
3	regard	VERB	0	root
4	my	PRON	5	nmod:poss
5	views	NOUN	3	obj
6	as	ADP	7	case
7	those	PRON	3	obl
8	of	ADP	12	case
9	the	DET	12	det
10	proverbial	ADJ	12	amod
11	taxi	NOUN	12	compound
12	driver	NOUN	7	nmod
13	,	PUNCT	7	punct
14	which	PRON	17	obj
15	you	PRON	17	nsubj
16	are	AUX	17	aux
17	supposed	VERB	7	acl:relcl
18	to	PART	19	mark
19	question	VERB	17	xcomp
20	,	PUNCT	19	punct
21	when	SCONJ	23	mark
22	you	PRON	23	nsubj
23	visit	VERB	19	advcl
24	a	DET	25	det
25	country	NOUN	23	obj
26	.	PUNCT	3	punct