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:
It is not as precise as a pelham bit because it only uses one rein, though the modern ones have two or three slots on which to put the reins.
Postion	Tokenization
1	It
2	is
3	not
4	as
5	precise
6	as
7	a
8	pelham
9	bit
10	because
11	it
12	only
13	uses
14	one
15	rein
16	,
17	though
18	the
19	modern
20	ones
21	have
22	two
23	or
24	three
25	slots
26	on
27	which
28	to
29	put
30	the
31	reins
32	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	5	nsubj
2	is	AUX	5	cop
3	not	PART	5	advmod
4	as	ADV	5	advmod
5	precise	ADJ	0	root
6	as	ADP	9	case
7	a	DET	9	det
8	pelham	NOUN	9	compound
9	bit	NOUN	5	obl
10	because	SCONJ	13	mark
11	it	PRON	13	nsubj
12	only	ADV	13	advmod
13	uses	VERB	5	advcl
14	one	NUM	15	nummod
15	rein	NOUN	13	obj
16	,	PUNCT	21	punct
17	though	SCONJ	21	mark
18	the	DET	20	det
19	modern	ADJ	20	amod
20	ones	NOUN	21	nsubj
21	have	VERB	5	conj
22	two	NUM	25	nummod
23	or	CCONJ	24	cc
24	three	NUM	22	conj
25	slots	NOUN	21	obj
26	on	ADP	27	case
27	which	PRON	29	obl
28	to	PART	29	mark
29	put	VERB	25	acl
30	the	DET	31	det
31	reins	NOUN	29	obj
32	.	PUNCT	5	punct