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:
Comb Type: Silkies have walnut combs which is actually genetically two comb types (Rose and Pea) single is also there, but is recessive.
Postion	Tokenization
1	Comb
2	Type
3	:
4	Silkies
5	have
6	walnut
7	combs
8	which
9	is
10	actually
11	genetically
12	two
13	comb
14	types
15	(
16	Rose
17	and
18	Pea
19	)
20	single
21	is
22	also
23	there
24	,
25	but
26	is
27	recessive
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Comb	NOUN	2	compound
2	Type	NOUN	0	root
3	:	PUNCT	2	punct
4	Silkies	NOUN	5	nsubj
5	have	VERB	2	parataxis
6	walnut	NOUN	7	compound
7	combs	NOUN	5	obj
8	which	PRON	14	nsubj
9	is	AUX	14	cop
10	actually	ADV	14	advmod
11	genetically	ADV	14	advmod
12	two	NUM	14	nummod
13	comb	NOUN	14	compound
14	types	NOUN	7	acl:relcl
15	(	PUNCT	16	punct
16	Rose	NOUN	14	appos
17	and	CCONJ	18	cc
18	Pea	NOUN	16	conj
19	)	PUNCT	18	punct
20	single	NOUN	23	nsubj
21	is	AUX	23	cop
22	also	ADV	23	advmod
23	there	ADV	5	parataxis
24	,	PUNCT	27	punct
25	but	CCONJ	27	cc
26	is	AUX	27	cop
27	recessive	ADJ	23	conj
28	.	PUNCT	2	punct