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:
But since in my country it lasts for minimum 6 years,and I want to go aground the world,what do you think,should I do it before or after medical school?
Postion	Tokenization
1	But
2	since
3	in
4	my
5	country
6	it
7	lasts
8	for
9	minimum
10	6
11	years
12	,
13	and
14	I
15	want
16	to
17	go
18	aground
19	the
20	world
21	,
22	what
23	do
24	you
25	think
26	,
27	should
28	I
29	do
30	it
31	before
32	or
33	after
34	medical
35	school
36	?
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	29	cc
2	since	SCONJ	7	mark
3	in	ADP	5	case
4	my	PRON	5	nmod:poss
5	country	NOUN	7	obl
6	it	PRON	7	nsubj
7	lasts	VERB	25	advcl
8	for	ADP	9	case
9	minimum	NOUN	7	obl
10	6	NUM	11	nummod
11	years	NOUN	7	obl:tmod
12	,	PUNCT	15	punct
13	and	CCONJ	15	cc
14	I	PRON	15	nsubj
15	want	VERB	7	conj
16	to	PART	17	mark
17	go	VERB	15	xcomp
18	aground	ADP	20	case
19	the	DET	20	det
20	world	NOUN	17	obl
21	,	PUNCT	25	punct
22	what	PRON	25	obj
23	do	AUX	25	aux
24	you	PRON	25	nsubj
25	think	VERB	0	root
26	,	PUNCT	25	punct
27	should	AUX	29	aux
28	I	PRON	29	nsubj
29	do	VERB	25	parataxis
30	it	PRON	29	obj
31	before	ADP	35	case
32	or	CCONJ	33	cc
33	after	ADP	31	conj
34	medical	ADJ	35	amod
35	school	NOUN	29	obl
36	?	PUNCT	25	punct