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:
The phones and networks are compatible, so the only reason it wouldn't work would be if you have, say, a cheap cell phone company..
Postion	Tokenization
1	The
2	phones
3	and
4	networks
5	are
6	compatible
7	,
8	so
9	the
10	only
11	reason
12	it
13	wouldn't
14	would
15	n't
16	work
17	would
18	be
19	if
20	you
21	have
22	,
23	say
24	,
25	a
26	cheap
27	cell
28	phone
29	company
30	..
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	phones	NOUN	6	nsubj
3	and	CCONJ	4	cc
4	networks	NOUN	2	conj
5	are	AUX	6	cop
6	compatible	ADJ	0	root
7	,	PUNCT	17	punct
8	so	ADV	17	advmod
9	the	DET	11	det
10	only	ADJ	11	amod
11	reason	NOUN	17	nsubj
12	it	PRON	15	nsubj
13	wouldn't	_	None	_
14	would	AUX	15	aux
15	n't	PART	15	advmod
16	work	VERB	11	acl:relcl
17	would	AUX	17	aux
18	be	VERB	6	conj
19	if	SCONJ	20	mark
20	you	PRON	20	nsubj
21	have	VERB	17	ccomp
22	,	PUNCT	20	punct
23	say	INTJ	20	discourse
24	,	PUNCT	20	punct
25	a	DET	28	det
26	cheap	ADJ	28	amod
27	cell	NOUN	27	compound
28	phone	NOUN	28	compound
29	company	NOUN	20	obj
30	..	PUNCT	6	punct