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:
(in the visa itself, it does not mention anything about which school I m suppose to attend, and problem is, the embassy here in DC are not too nice and would never answer ANY questions....) any advice please?
Postion	Tokenization
1	(
2	in
3	the
4	visa
5	itself
6	,
7	it
8	does
9	not
10	mention
11	anything
12	about
13	which
14	school
15	I
16	m
17	suppose
18	to
19	attend
20	,
21	and
22	problem
23	is
24	,
25	the
26	embassy
27	here
28	in
29	DC
30	are
31	not
32	too
33	nice
34	and
35	would
36	never
37	answer
38	ANY
39	questions
40	....
41	)
42	any
43	advice
44	please
45	?
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	10	punct
2	in	ADP	4	case
3	the	DET	4	det
4	visa	NOUN	10	obl
5	itself	PRON	4	nmod:npmod
6	,	PUNCT	10	punct
7	it	PRON	10	nsubj
8	does	AUX	10	aux
9	not	PART	10	advmod
10	mention	VERB	0	root
11	anything	PRON	10	obj
12	about	SCONJ	17	mark
13	which	DET	14	det
14	school	NOUN	19	obj
15	I	PRON	17	nsubj:pass
16	m	AUX	17	aux:pass
17	suppose	VERB	11	acl
18	to	PART	19	mark
19	attend	VERB	17	xcomp
20	,	PUNCT	23	punct
21	and	CCONJ	23	cc
22	problem	NOUN	23	nsubj
23	is	VERB	10	conj
24	,	PUNCT	23	punct
25	the	DET	26	det
26	embassy	NOUN	33	nsubj
27	here	ADV	26	advmod
28	in	ADP	29	case
29	DC	PROPN	27	obl
30	are	AUX	33	cop
31	not	PART	33	advmod
32	too	ADV	33	advmod
33	nice	ADJ	23	ccomp
34	and	CCONJ	37	cc
35	would	AUX	37	aux
36	never	ADV	37	advmod
37	answer	VERB	33	conj
38	ANY	DET	39	det
39	questions	NOUN	37	obj
40	....	PUNCT	10	punct
41	)	PUNCT	10	punct
42	any	DET	43	det
43	advice	NOUN	10	parataxis
44	please	INTJ	43	discourse
45	?	PUNCT	43	punct