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:
Had a horrible experience with a manager here, Rachel McInnis, she was rude, inconsiderate and did not do the right thing for an item that was marked incorrectly...
Postion	Tokenization
1	Had
2	a
3	horrible
4	experience
5	with
6	a
7	manager
8	here
9	,
10	Rachel
11	McInnis
12	,
13	she
14	was
15	rude
16	,
17	inconsiderate
18	and
19	did
20	not
21	do
22	the
23	right
24	thing
25	for
26	an
27	item
28	that
29	was
30	marked
31	incorrectly
32	...
Position	Tokenization	UPOS	Head	Deprel
1	Had	VERB	0	root
2	a	DET	4	det
3	horrible	ADJ	4	amod
4	experience	NOUN	1	obj
5	with	ADP	7	case
6	a	DET	7	det
7	manager	NOUN	4	nmod
8	here	ADV	7	advmod
9	,	PUNCT	7	punct
10	Rachel	PROPN	7	appos
11	McInnis	PROPN	10	flat
12	,	PUNCT	1	punct
13	she	PRON	17	nsubj
14	was	AUX	17	cop
15	rude	ADJ	1	parataxis
16	,	PUNCT	17	punct
17	inconsiderate	ADJ	15	conj
18	and	CCONJ	21	cc
19	did	AUX	21	aux
20	not	PART	21	advmod
21	do	VERB	15	conj
22	the	DET	24	det
23	right	ADJ	24	amod
24	thing	NOUN	21	obj
25	for	ADP	27	case
26	an	DET	27	det
27	item	NOUN	21	obl
28	that	PRON	30	nsubj:pass
29	was	AUX	30	aux:pass
30	marked	VERB	27	acl:relcl
31	incorrectly	ADV	30	advmod
32	...	PUNCT	1	punct