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:
his clinic is very very dirty he is a real disaster to go totally not organized for every step he take .
Postion	Tokenization
1	his
2	clinic
3	is
4	very
5	very
6	dirty
7	he
8	is
9	a
10	real
11	disaster
12	to
13	go
14	totally
15	not
16	organized
17	for
18	every
19	step
20	he
21	take
22	.
Position	Tokenization	UPOS	Head	Deprel
1	his	PRON	2	nmod:poss
2	clinic	NOUN	6	nsubj
3	is	AUX	6	cop
4	very	ADV	5	advmod
5	very	ADV	6	advmod
6	dirty	ADJ	0	root
7	he	PRON	11	nsubj
8	is	AUX	11	cop
9	a	DET	11	det
10	real	ADJ	11	amod
11	disaster	NOUN	6	parataxis
12	to	PART	13	mark
13	go	VERB	11	advcl
14	totally	ADV	16	advmod
15	not	ADV	16	advmod
16	organized	ADJ	11	conj
17	for	ADP	19	case
18	every	DET	19	det
19	step	NOUN	16	obl
20	he	PRON	21	nsubj
21	take	VERB	19	acl:relcl
22	.	PUNCT	6	punct