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 also understand that weekend staffs are different than daytime staffs and not necessarily Starbucks A-team or even full-time.
Postion	Tokenization
1	I
2	also
3	understand
4	that
5	weekend
6	staffs
7	are
8	different
9	than
10	daytime
11	staffs
12	and
13	not
14	necessarily
15	Starbucks
16	A
17	-
18	team
19	or
20	even
21	full
22	-
23	time
24	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	also	ADV	3	advmod
3	understand	VERB	0	root
4	that	SCONJ	8	mark
5	weekend	NOUN	6	compound
6	staffs	NOUN	8	nsubj
7	are	AUX	8	cop
8	different	ADJ	3	ccomp
9	than	ADP	11	case
10	daytime	NOUN	11	compound
11	staffs	NOUN	8	obl
12	and	CCONJ	18	cc
13	not	PART	14	advmod
14	necessarily	ADV	18	advmod
15	Starbucks	PROPN	18	compound
16	A	NOUN	18	compound
17	-	PUNCT	18	punct
18	team	NOUN	8	conj
19	or	CCONJ	23	cc
20	even	ADV	23	advmod
21	full	ADJ	23	amod
22	-	PUNCT	23	punct
23	time	NOUN	18	conj
24	.	PUNCT	3	punct