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:
So, as each post is downloaded and the directions carefully followed, all members will be reimbursed for their participation as a List Developer with one dollar each.
Postion	Tokenization
1	So
2	,
3	as
4	each
5	post
6	is
7	downloaded
8	and
9	the
10	directions
11	carefully
12	followed
13	,
14	all
15	members
16	will
17	be
18	reimbursed
19	for
20	their
21	participation
22	as
23	a
24	List
25	Developer
26	with
27	one
28	dollar
29	each
30	.
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	18	advmod
2	,	PUNCT	18	punct
3	as	SCONJ	7	mark
4	each	DET	5	det
5	post	NOUN	7	nsubj:pass
6	is	AUX	7	aux:pass
7	downloaded	VERB	18	advcl
8	and	CCONJ	12	cc
9	the	DET	10	det
10	directions	NOUN	12	nsubj
11	carefully	ADV	12	advmod
12	followed	VERB	7	conj
13	,	PUNCT	18	punct
14	all	DET	15	det
15	members	NOUN	18	nsubj:pass
16	will	AUX	18	aux
17	be	AUX	18	aux:pass
18	reimbursed	VERB	0	root
19	for	ADP	21	case
20	their	PRON	21	nmod:poss
21	participation	NOUN	18	obl
22	as	ADP	25	case
23	a	DET	25	det
24	List	NOUN	25	compound
25	Developer	NOUN	21	nmod
26	with	ADP	28	case
27	one	NUM	28	nummod
28	dollar	NOUN	18	obl
29	each	DET	28	nmod:npmod
30	.	PUNCT	18	punct