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:
Im glad his butt was facing me so he couldn't see my red face I think my Mare was even laughing..
Postion	Tokenization
1	Im
2	I
3	m
4	glad
5	his
6	butt
7	was
8	facing
9	me
10	so
11	he
12	couldn't
13	could
14	n't
15	see
16	my
17	red
18	face
19	I
20	think
21	my
22	Mare
23	was
24	even
25	laughing
26	..
Position	Tokenization	UPOS	Head	Deprel
1	Im	_	None	_
2	I	PRON	3	nsubj
3	m	AUX	3	cop
4	glad	ADJ	0	root
5	his	PRON	5	nmod:poss
6	butt	NOUN	7	nsubj
7	was	AUX	7	aux
8	facing	VERB	3	ccomp
9	me	PRON	7	obj
10	so	SCONJ	13	mark
11	he	PRON	13	nsubj
12	couldn't	_	None	_
13	could	AUX	13	aux
14	n't	PART	13	advmod
15	see	VERB	7	advcl
16	my	PRON	16	nmod:poss
17	red	ADJ	16	amod
18	face	NOUN	13	obj
19	I	PRON	18	nsubj
20	think	VERB	3	parataxis
21	my	PRON	20	nmod:poss
22	Mare	NOUN	23	nsubj
23	was	AUX	23	aux
24	even	ADV	23	advmod
25	laughing	VERB	18	ccomp
26	..	PUNCT	3	punct