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:
He does have toys, a scratching post, LOTS of mice, balls, yarn, a feathery birdy toy, etc.
Postion	Tokenization
1	He
2	does
3	have
4	toys
5	,
6	a
7	scratching
8	post
9	,
10	LOTS
11	of
12	mice
13	,
14	balls
15	,
16	yarn
17	,
18	a
19	feathery
20	birdy
21	toy
22	,
23	etc
24	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	3	nsubj
2	does	AUX	3	aux
3	have	VERB	0	root
4	toys	NOUN	3	obj
5	,	PUNCT	4	punct
6	a	DET	8	det
7	scratching	NOUN	8	compound
8	post	NOUN	4	appos
9	,	PUNCT	8	punct
10	LOTS	NOUN	8	list
11	of	ADP	12	case
12	mice	NOUN	10	nmod
13	,	PUNCT	8	punct
14	balls	NOUN	8	list
15	,	PUNCT	8	punct
16	yarn	NOUN	8	list
17	,	PUNCT	8	punct
18	a	DET	21	det
19	feathery	ADJ	21	amod
20	birdy	NOUN	21	compound
21	toy	NOUN	8	list
22	,	PUNCT	8	punct
23	etc	X	8	list
24	.	PUNCT	3	punct