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:
You don't say what color Silkie or Sussex you are dealing with so I can't say what color your chicks would be likely to be.
Postion	Tokenization
1	You
2	don't
3	do
4	n't
5	say
6	what
7	color
8	Silkie
9	or
10	Sussex
11	you
12	are
13	dealing
14	with
15	so
16	I
17	can't
18	ca
19	n't
20	say
21	what
22	color
23	your
24	chicks
25	would
26	be
27	likely
28	to
29	be
30	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	4	nsubj
2	don't	_	None	_
3	do	AUX	4	aux
4	n't	PART	4	advmod
5	say	VERB	0	root
6	what	DET	6	det
7	color	NOUN	7	compound
8	Silkie	NOUN	12	obl
9	or	CCONJ	9	cc
10	Sussex	NOUN	7	conj
11	you	PRON	12	nsubj
12	are	AUX	12	aux
13	dealing	VERB	4	ccomp
14	with	ADP	7	case
15	so	ADV	18	advmod
16	I	PRON	18	nsubj
17	can't	_	None	_
18	ca	AUX	18	aux
19	n't	PART	18	advmod
20	say	VERB	4	parataxis
21	what	DET	20	det
22	color	NOUN	25	obj
23	your	PRON	22	nmod:poss
24	chicks	NOUN	25	nsubj
25	would	AUX	25	aux
26	be	AUX	25	cop
27	likely	ADJ	18	ccomp
28	to	PART	27	mark
29	be	VERB	25	xcomp
30	.	PUNCT	4	punct