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:
Some reporters (you know, the ones with journalistic ethics) have actually uncovered the truth about George Bush's service in the Texas Air National Guard.
Postion	Tokenization
1	Some
2	reporters
3	(
4	you
5	know
6	,
7	the
8	ones
9	with
10	journalistic
11	ethics
12	)
13	have
14	actually
15	uncovered
16	the
17	truth
18	about
19	George
20	Bush's
21	Bush
22	's
23	service
24	in
25	the
26	Texas
27	Air
28	National
29	Guard
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Some	DET	2	det
2	reporters	NOUN	15	nsubj
3	(	PUNCT	2	punct
4	you	PRON	5	nsubj
5	know	VERB	2	parataxis
6	,	PUNCT	2	punct
7	the	DET	8	det
8	ones	NOUN	2	appos
9	with	ADP	11	case
10	journalistic	ADJ	11	amod
11	ethics	NOUN	8	nmod
12	)	PUNCT	2	punct
13	have	AUX	15	aux
14	actually	ADV	15	advmod
15	uncovered	VERB	0	root
16	the	DET	17	det
17	truth	NOUN	15	obj
18	about	ADP	22	case
19	George	PROPN	22	nmod:poss
20	Bush's	_	None	_
21	Bush	PROPN	19	flat
22	's	PART	19	case
23	service	NOUN	17	nmod
24	in	ADP	28	case
25	the	DET	28	det
26	Texas	PROPN	28	compound
27	Air	PROPN	28	compound
28	National	PROPN	28	compound
29	Guard	PROPN	22	nmod
30	.	PUNCT	15	punct