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 a daily routine to hear the same leader making opposite statements in Arabic to his people and in English to the rest of the world.
Postion	Tokenization
1	It
2	is
3	a
4	daily
5	routine
6	to
7	hear
8	the
9	same
10	leader
11	making
12	opposite
13	statements
14	in
15	Arabic
16	to
17	his
18	people
19	and
20	in
21	English
22	to
23	the
24	rest
25	of
26	the
27	world
28	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	5	expl
2	is	AUX	5	cop
3	a	DET	5	det
4	daily	ADJ	5	amod
5	routine	NOUN	0	root
6	to	PART	7	mark
7	hear	VERB	5	csubj
8	the	DET	10	det
9	same	ADJ	10	amod
10	leader	NOUN	11	nsubj
11	making	VERB	7	ccomp
12	opposite	ADJ	13	amod
13	statements	NOUN	11	obj
14	in	ADP	15	case
15	Arabic	PROPN	11	obl
16	to	ADP	18	case
17	his	PRON	18	nmod:poss
18	people	NOUN	11	obl
19	and	CCONJ	21	cc
20	in	ADP	21	case
21	English	PROPN	11	conj
22	to	ADP	24	case
23	the	DET	24	det
24	rest	NOUN	21	nmod
25	of	ADP	27	case
26	the	DET	27	det
27	world	NOUN	24	nmod
28	.	PUNCT	5	punct