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:
Even if you don't find the foreigner's office you'll be fine in the normal Reservation Office of any big train station.
Postion	Tokenization
1	Even
2	if
3	you
4	don't
5	do
6	n't
7	find
8	the
9	foreigner's
10	foreigner
11	's
12	office
13	you'll
14	you
15	'll
16	be
17	fine
18	in
19	the
20	normal
21	Reservation
22	Office
23	of
24	any
25	big
26	train
27	station
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Even	ADV	6	advmod
2	if	SCONJ	6	mark
3	you	PRON	6	nsubj
4	don't	_	None	_
5	do	AUX	6	aux
6	n't	PART	6	advmod
7	find	VERB	14	advcl
8	the	DET	8	det
9	foreigner's	_	None	_
10	foreigner	NOUN	10	nmod:poss
11	's	PART	8	case
12	office	NOUN	6	obj
13	you'll	_	None	_
14	you	PRON	14	nsubj
15	'll	AUX	14	aux
16	be	AUX	14	cop
17	fine	ADJ	0	root
18	in	ADP	19	case
19	the	DET	19	det
20	normal	ADJ	19	amod
21	Reservation	NOUN	19	compound
22	Office	NOUN	14	obl
23	of	ADP	24	case
24	any	DET	24	det
25	big	ADJ	24	amod
26	train	NOUN	24	compound
27	station	NOUN	19	nmod
28	.	PUNCT	14	punct