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:
From the point of view of a business, and client/operator relationships, he's doing a really shitty job.
Postion	Tokenization
1	From
2	the
3	point
4	of
5	view
6	of
7	a
8	business
9	,
10	and
11	client
12	/
13	operator
14	relationships
15	,
16	he's
17	he
18	's
19	doing
20	a
21	really
22	shitty
23	job
24	.
Position	Tokenization	UPOS	Head	Deprel
1	From	ADP	3	case
2	the	DET	3	det
3	point	NOUN	18	obl
4	of	ADP	5	case
5	view	NOUN	3	nmod
6	of	ADP	8	case
7	a	DET	8	det
8	business	NOUN	5	nmod
9	,	PUNCT	14	punct
10	and	CCONJ	14	cc
11	client	NOUN	14	compound
12	/	PUNCT	13	cc
13	operator	NOUN	11	conj
14	relationships	NOUN	8	conj
15	,	PUNCT	18	punct
16	he's	_	None	_
17	he	PRON	18	nsubj
18	's	AUX	18	aux
19	doing	VERB	0	root
20	a	DET	22	det
21	really	ADV	21	advmod
22	shitty	ADJ	22	amod
23	job	NOUN	18	obj
24	.	PUNCT	18	punct