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:
Don't blame him please, he feels lonely and wants to show his attention to all of you to look after you, please forgive and sympathy if he miss something.
Postion	Tokenization
1	Don't
2	Do
3	n't
4	blame
5	him
6	please
7	,
8	he
9	feels
10	lonely
11	and
12	wants
13	to
14	show
15	his
16	attention
17	to
18	all
19	of
20	you
21	to
22	look
23	after
24	you
25	,
26	please
27	forgive
28	and
29	sympathy
30	if
31	he
32	miss
33	something
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Don't	_	None	_
2	Do	AUX	3	aux
3	n't	PART	3	advmod
4	blame	VERB	0	root
5	him	PRON	3	obj
6	please	INTJ	3	discourse
7	,	PUNCT	3	punct
8	he	PRON	8	nsubj
9	feels	VERB	3	parataxis
10	lonely	ADJ	8	xcomp
11	and	CCONJ	11	cc
12	wants	VERB	8	conj
13	to	PART	13	mark
14	show	VERB	11	xcomp
15	his	PRON	15	nmod:poss
16	attention	NOUN	13	obj
17	to	ADP	17	case
18	all	DET	13	obl
19	of	ADP	19	case
20	you	PRON	17	nmod
21	to	PART	21	mark
22	look	VERB	13	advcl
23	after	ADP	23	case
24	you	PRON	21	obl
25	,	PUNCT	3	punct
26	please	INTJ	26	discourse
27	forgive	VERB	3	parataxis
28	and	CCONJ	28	cc
29	sympathy	NOUN	26	conj
30	if	SCONJ	31	mark
31	he	PRON	31	nsubj
32	miss	VERB	26	advcl
33	something	PRON	31	obj
34	.	PUNCT	3	punct