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:
My apartment also smells repulsive even though I am cleaning out their litter box at least once a day if not twice.
Postion	Tokenization
1	My
2	apartment
3	also
4	smells
5	repulsive
6	even
7	though
8	I
9	am
10	cleaning
11	out
12	their
13	litter
14	box
15	at
16	least
17	once
18	a
19	day
20	if
21	not
22	twice
23	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	apartment	NOUN	4	nsubj
3	also	ADV	4	advmod
4	smells	VERB	0	root
5	repulsive	ADJ	4	xcomp
6	even	ADV	10	advmod
7	though	SCONJ	10	mark
8	I	PRON	10	nsubj
9	am	AUX	10	aux
10	cleaning	VERB	4	advcl
11	out	ADP	10	compound:prt
12	their	PRON	14	nmod:poss
13	litter	NOUN	14	compound
14	box	NOUN	10	obj
15	at	ADV	16	case
16	least	ADV	17	obl
17	once	ADV	10	advmod
18	a	DET	19	det
19	day	NOUN	17	obl:npmod
20	if	SCONJ	22	mark
21	not	ADV	22	advmod
22	twice	ADV	17	advcl
23	.	PUNCT	4	punct