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:
grey shirt "mark" of course with this type behavior he could have been wearing someonelses clothing.....
Postion	Tokenization
1	grey
2	shirt
3	"
4	mark
5	"
6	of
7	course
8	with
9	this
10	type
11	behavior
12	he
13	could
14	have
15	been
16	wearing
17	someon
18	else
19	s
20	clothing
21	.....
Position	Tokenization	UPOS	Head	Deprel
1	grey	NOUN	2	compound
2	shirt	NOUN	0	root
3	"	PUNCT	4	punct
4	mark	PROPN	2	appos
5	"	PUNCT	4	punct
6	of	ADV	16	advmod
7	course	ADV	6	fixed
8	with	ADP	11	case
9	this	DET	10	det
10	type	NOUN	11	compound
11	behavior	NOUN	16	obl
12	he	PRON	16	nsubj
13	could	AUX	16	aux
14	have	AUX	16	aux
15	been	AUX	16	aux
16	wearing	VERB	2	parataxis
17	someon	NOUN	20	nmod:poss
18	else	ADJ	17	amod
19	s	PART	17	case
20	clothing	NOUN	16	obj
21	.....	PUNCT	2	punct