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:
There are 50 of them, 48 located from Maine to Florida and California to Washington State and all in between.
Postion	Tokenization
1	There
2	are
3	50
4	of
5	them
6	,
7	48
8	located
9	from
10	Maine
11	to
12	Florida
13	and
14	California
15	to
16	Washington
17	State
18	and
19	all
20	in
21	between
22	.
Position	Tokenization	UPOS	Head	Deprel
1	There	PRON	2	expl
2	are	VERB	0	root
3	50	NUM	2	nsubj
4	of	ADP	5	case
5	them	PRON	3	nmod
6	,	PUNCT	3	punct
7	48	NUM	8	nsubj
8	located	VERB	2	advcl
9	from	ADP	10	case
10	Maine	PROPN	8	obl
11	to	ADP	12	case
12	Florida	PROPN	10	nmod
13	and	CCONJ	14	cc
14	California	PROPN	10	conj
15	to	ADP	17	case
16	Washington	PROPN	17	compound
17	State	PROPN	14	nmod
18	and	CCONJ	22	cc
19	all	ADV	21	advmod
20	in	ADP	21	case
21	between	ADV	8	conj
22	.	PUNCT	2	punct