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 get that careless teenager kind of treatment from some of their staff...perhaps they should hire more serious adults to help serve/cook.
Postion	Tokenization
1	I
2	get
3	that
4	careless
5	teenager
6	kind
7	of
8	treatment
9	from
10	some
11	of
12	their
13	staff
14	...
15	perhaps
16	they
17	should
18	hire
19	more
20	serious
21	adults
22	to
23	help
24	serve
25	/
26	cook
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	get	VERB	0	root
3	that	DET	6	det
4	careless	ADJ	6	amod
5	teenager	NOUN	6	compound
6	kind	NOUN	2	obj
7	of	ADP	8	case
8	treatment	NOUN	6	nmod
9	from	ADP	10	case
10	some	DET	2	obl
11	of	ADP	13	case
12	their	PRON	13	nmod:poss
13	staff	NOUN	10	nmod
14	...	PUNCT	2	punct
15	perhaps	ADV	18	advmod
16	they	PRON	18	nsubj
17	should	AUX	18	aux
18	hire	VERB	2	parataxis
19	more	ADV	20	advmod
20	serious	ADJ	21	amod
21	adults	NOUN	18	obj
22	to	PART	23	mark
23	help	VERB	21	acl
24	serve	VERB	23	ccomp
25	/	PUNCT	26	cc
26	cook	VERB	24	conj
27	.	PUNCT	2	punct