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:
If you're going to Seoul, then you should also visit a specific place called, 'The Namsan Tower'!
Postion	Tokenization
1	If
2	you're
3	you
4	're
5	going
6	to
7	Seoul
8	,
9	then
10	you
11	should
12	also
13	visit
14	a
15	specific
16	place
17	called
18	,
19	'
20	The
21	Namsan
22	Tower
23	'
24	!
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	you're	_	None	_
3	you	PRON	4	nsubj
4	're	AUX	4	aux
5	going	VERB	12	advcl
6	to	ADP	6	case
7	Seoul	PROPN	4	obl
8	,	PUNCT	12	punct
9	then	ADV	12	advmod
10	you	PRON	12	nsubj
11	should	AUX	12	aux
12	also	ADV	12	advmod
13	visit	VERB	0	root
14	a	DET	15	det
15	specific	ADJ	15	amod
16	place	NOUN	12	obj
17	called	VERB	15	acl
18	,	PUNCT	16	punct
19	'	PUNCT	21	punct
20	The	DET	21	det
21	Namsan	PROPN	21	compound
22	Tower	PROPN	16	xcomp
23	'	PUNCT	21	punct
24	!	PUNCT	12	punct