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:
For obvious reasons, knowing how extremely difficult it is to drive a car in the city, you should probably try to be near the subway system.
Postion	Tokenization
1	For
2	obvious
3	reasons
4	,
5	knowing
6	how
7	extremely
8	difficult
9	it
10	is
11	to
12	drive
13	a
14	car
15	in
16	the
17	city
18	,
19	you
20	should
21	probably
22	try
23	to
24	be
25	near
26	the
27	subway
28	system
29	.
Position	Tokenization	UPOS	Head	Deprel
1	For	ADP	3	case
2	obvious	ADJ	3	amod
3	reasons	NOUN	22	obl
4	,	PUNCT	3	punct
5	knowing	VERB	22	advcl
6	how	SCONJ	8	mark
7	extremely	ADV	8	advmod
8	difficult	ADJ	5	ccomp
9	it	PRON	8	expl
10	is	AUX	8	cop
11	to	PART	12	mark
12	drive	VERB	8	csubj
13	a	DET	14	det
14	car	NOUN	12	obj
15	in	ADP	17	case
16	the	DET	17	det
17	city	NOUN	12	obl
18	,	PUNCT	22	punct
19	you	PRON	22	nsubj
20	should	AUX	22	aux
21	probably	ADV	22	advmod
22	try	VERB	0	root
23	to	PART	28	mark
24	be	AUX	28	cop
25	near	ADP	28	case
26	the	DET	28	det
27	subway	NOUN	28	compound
28	system	NOUN	22	xcomp
29	.	PUNCT	22	punct