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:
Fill in the subject, this will be the header that everyone sees as they scroll through the list of postings in a particular group, click the post message button.
Postion	Tokenization
1	Fill
2	in
3	the
4	subject
5	,
6	this
7	will
8	be
9	the
10	header
11	that
12	everyone
13	sees
14	as
15	they
16	scroll
17	through
18	the
19	list
20	of
21	postings
22	in
23	a
24	particular
25	group
26	,
27	click
28	the
29	post
30	message
31	button
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Fill	VERB	0	root
2	in	ADP	1	compound:prt
3	the	DET	4	det
4	subject	NOUN	1	obj
5	,	PUNCT	1	punct
6	this	PRON	10	nsubj
7	will	AUX	10	aux
8	be	AUX	10	cop
9	the	DET	10	det
10	header	NOUN	1	parataxis
11	that	PRON	13	obj
12	everyone	PRON	13	nsubj
13	sees	VERB	10	acl:relcl
14	as	SCONJ	16	mark
15	they	PRON	16	nsubj
16	scroll	VERB	13	advcl
17	through	ADP	19	case
18	the	DET	19	det
19	list	NOUN	16	obl
20	of	ADP	21	case
21	postings	NOUN	19	nmod
22	in	ADP	25	case
23	a	DET	25	det
24	particular	ADJ	25	amod
25	group	NOUN	19	nmod
26	,	PUNCT	1	punct
27	click	VERB	1	parataxis
28	the	DET	31	det
29	post	VERB	31	compound
30	message	NOUN	29	obj
31	button	NOUN	27	obj
32	.	PUNCT	1	punct