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 I also hope no one feels any obligation to download, especially if you have an internet connection as slow mine (28k).
Postion	Tokenization
1	But
2	I
3	also
4	hope
5	no
6	one
7	feels
8	any
9	obligation
10	to
11	download
12	,
13	especially
14	if
15	you
16	have
17	an
18	internet
19	connection
20	as
21	slow
22	mine
23	(
24	28
25	k
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	4	cc
2	I	PRON	4	nsubj
3	also	ADV	4	advmod
4	hope	VERB	0	root
5	no	DET	6	det
6	one	NOUN	7	nsubj
7	feels	VERB	4	ccomp
8	any	DET	9	det
9	obligation	NOUN	7	obj
10	to	PART	11	mark
11	download	VERB	9	acl
12	,	PUNCT	7	punct
13	especially	ADV	16	advmod
14	if	SCONJ	16	mark
15	you	PRON	16	nsubj
16	have	VERB	7	advcl
17	an	DET	19	det
18	internet	NOUN	19	compound
19	connection	NOUN	16	obj
20	as	ADV	21	advmod
21	slow	ADJ	19	amod
22	mine	PRON	21	obl:npmod
23	(	PUNCT	25	punct
24	28	NUM	25	nummod
25	k	NUM	22	nmod:npmod
26	)	PUNCT	25	punct
27	.	PUNCT	4	punct