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:
Additionally, reviewing the standings of Louisiana and Mississippi in the educational stakes, you'll find they usually land near the bottom of a list of 50 states.
Postion	Tokenization
1	Additionally
2	,
3	reviewing
4	the
5	standings
6	of
7	Louisiana
8	and
9	Mississippi
10	in
11	the
12	educational
13	stakes
14	,
15	you'll
16	you
17	'll
18	find
19	they
20	usually
21	land
22	near
23	the
24	bottom
25	of
26	a
27	list
28	of
29	50
30	states
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Additionally	ADV	17	advmod
2	,	PUNCT	17	punct
3	reviewing	VERB	17	advcl
4	the	DET	5	det
5	standings	NOUN	3	obj
6	of	ADP	7	case
7	Louisiana	PROPN	5	nmod
8	and	CCONJ	9	cc
9	Mississippi	PROPN	7	conj
10	in	ADP	13	case
11	the	DET	13	det
12	educational	ADJ	13	amod
13	stakes	NOUN	5	nmod
14	,	PUNCT	17	punct
15	you'll	_	None	_
16	you	PRON	17	nsubj
17	'll	AUX	17	aux
18	find	VERB	0	root
19	they	PRON	20	nsubj
20	usually	ADV	20	advmod
21	land	VERB	17	ccomp
22	near	ADP	23	case
23	the	DET	23	det
24	bottom	NOUN	20	obl
25	of	ADP	26	case
26	a	DET	26	det
27	list	NOUN	23	nmod
28	of	ADP	29	case
29	50	NUM	29	nummod
30	states	NOUN	26	nmod
31	.	PUNCT	17	punct