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 used to live in London for 6 months and it's by far one of my favorite places to be in the world (I've been to 45 countries in 5 years).
Postion	Tokenization
1	I
2	used
3	to
4	live
5	in
6	London
7	for
8	6
9	months
10	and
11	it's
12	it
13	's
14	by
15	far
16	one
17	of
18	my
19	favorite
20	places
21	to
22	be
23	in
24	the
25	world
26	(
27	I
28	've
29	been
30	to
31	45
32	countries
33	in
34	5
35	years
36	)
37	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	used	VERB	0	root
3	to	PART	4	mark
4	live	VERB	2	xcomp
5	in	ADP	6	case
6	London	PROPN	4	obl
7	for	ADP	9	case
8	6	NUM	9	nummod
9	months	NOUN	4	obl
10	and	CCONJ	15	cc
11	it's	_	None	_
12	it	PRON	15	nsubj
13	's	AUX	15	cop
14	by	ADP	14	case
15	far	ADV	15	obl
16	one	NUM	2	conj
17	of	ADP	19	case
18	my	PRON	19	nmod:poss
19	favorite	ADJ	19	amod
20	places	NOUN	15	nmod
21	to	PART	24	mark
22	be	AUX	24	cop
23	in	ADP	24	case
24	the	DET	24	det
25	world	NOUN	19	acl
26	(	PUNCT	31	punct
27	I	PRON	31	nsubj
28	've	AUX	31	aux
29	been	AUX	31	cop
30	to	ADP	31	case
31	45	NUM	31	nummod
32	countries	NOUN	2	parataxis
33	in	ADP	34	case
34	5	NUM	34	nummod
35	years	NOUN	31	obl
36	)	PUNCT	31	punct
37	.	PUNCT	2	punct