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:
I prefer to devote most of my remarks to the broader picture of the region and its place in world events.
Postion	Tokenization
1	I
2	prefer
3	to
4	devote
5	most
6	of
7	my
8	remarks
9	to
10	the
11	broader
12	picture
13	of
14	the
15	region
16	and
17	its
18	place
19	in
20	world
21	events
22	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	prefer	VERB	0	root
3	to	PART	4	mark
4	devote	VERB	2	xcomp
5	most	ADJ	4	obj
6	of	ADP	8	case
7	my	PRON	8	nmod:poss
8	remarks	NOUN	5	nmod
9	to	ADP	12	case
10	the	DET	12	det
11	broader	ADJ	12	amod
12	picture	NOUN	4	obl
13	of	ADP	15	case
14	the	DET	15	det
15	region	NOUN	12	nmod
16	and	CCONJ	18	cc
17	its	PRON	18	nmod:poss
18	place	NOUN	15	conj
19	in	ADP	21	case
20	world	NOUN	21	compound
21	events	NOUN	18	nmod
22	.	PUNCT	2	punct