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 text: You gotta get an iPhone for 3G...only way...actually there is a thing that you pay for monthly that gets wifi from satellite and you can connect to it anywhere but you have to Cary it with you
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	2	nsubj
2	gotta	_	None	_
3	got	VERB	0	root
4	ta	PART	4	mark
5	get	VERB	2	xcomp
6	an	DET	6	det
7	iPhone	PROPN	4	obj
8	for	ADP	8	case
9	3G	NOUN	6	nmod
10	...	PUNCT	11	punct
11	only	ADV	11	advmod
12	way	NOUN	2	parataxis
13	...	PUNCT	11	punct
14	actually	ADV	15	advmod
15	there	PRON	15	expl
16	is	VERB	11	parataxis
17	a	DET	17	det
18	thing	NOUN	15	nsubj
19	that	PRON	20	obl
20	you	PRON	20	nsubj
21	pay	VERB	17	acl:relcl
22	for	ADP	18	case
23	monthly	ADV	20	advmod
24	that	PRON	24	nsubj
25	gets	VERB	17	acl:relcl
26	wifi	NOUN	24	obj
27	from	ADP	27	case
28	satellite	NOUN	24	obl
29	and	CCONJ	31	cc
30	you	PRON	31	nsubj
31	can	AUX	31	aux
32	connect	VERB	24	conj
33	to	ADP	33	case
34	it	PRON	31	obl
35	anywhere	ADV	31	advmod
36	but	CCONJ	37	cc
37	you	PRON	37	nsubj
38	have	VERB	24	conj
39	to	PART	39	mark
40	Cary	VERB	37	xcomp
41	it	PRON	39	obj
42	with	ADP	42	case
43	you	PRON	39	obl