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:
0 - Number of times Bush mentioned global warming, clean air, clean water, pollution or environment in his 2004 State of the Union speech.
Postion	Tokenization
1	0
2	-
3	Number
4	of
5	times
6	Bush
7	mentioned
8	global
9	warming
10	,
11	clean
12	air
13	,
14	clean
15	water
16	,
17	pollution
18	or
19	environment
20	in
21	his
22	2004
23	State
24	of
25	the
26	Union
27	speech
28	.
Position	Tokenization	UPOS	Head	Deprel
1	0	NUM	0	root
2	-	PUNCT	1	punct
3	Number	NOUN	1	appos
4	of	ADP	5	case
5	times	NOUN	3	nmod
6	Bush	PROPN	7	nsubj
7	mentioned	VERB	5	acl:relcl
8	global	ADJ	9	amod
9	warming	NOUN	7	obj
10	,	PUNCT	12	punct
11	clean	ADJ	12	amod
12	air	NOUN	9	conj
13	,	PUNCT	15	punct
14	clean	ADJ	15	amod
15	water	NOUN	9	conj
16	,	PUNCT	17	punct
17	pollution	NOUN	9	conj
18	or	CCONJ	19	cc
19	environment	NOUN	9	conj
20	in	ADP	27	case
21	his	PRON	27	nmod:poss
22	2004	NUM	27	nummod
23	State	NOUN	27	compound
24	of	ADP	26	case
25	the	DET	26	det
26	Union	NOUN	23	nmod
27	speech	NOUN	7	obl
28	.	PUNCT	1	punct