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:
i had a sussex male and a pekin female i bought 2 silkies what would the sussex female and the silkie females would make ?
Postion	Tokenization
1	i
2	had
3	a
4	sussex
5	male
6	and
7	a
8	pekin
9	female
10	i
11	bought
12	2
13	silkies
14	what
15	would
16	the
17	sussex
18	female
19	and
20	the
21	silkie
22	females
23	would
24	make
25	?
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	2	nsubj
2	had	VERB	0	root
3	a	DET	5	det
4	sussex	NOUN	5	compound
5	male	NOUN	2	obj
6	and	CCONJ	9	cc
7	a	DET	9	det
8	pekin	NOUN	9	compound
9	female	NOUN	5	conj
10	i	PRON	11	nsubj
11	bought	VERB	2	parataxis
12	2	NUM	13	nummod
13	silkies	NOUN	11	obj
14	what	PRON	24	obj
15	would	AUX	24	aux
16	the	DET	18	det
17	sussex	NOUN	18	compound
18	female	NOUN	24	nsubj
19	and	CCONJ	22	cc
20	the	DET	22	det
21	silkie	NOUN	22	compound
22	females	NOUN	18	conj
23	would	AUX	24	aux
24	make	VERB	2	parataxis
25	?	PUNCT	2	punct