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:
News coverage of the president’s years in the Guard has tended to focus on one brief portion of that time — to the exclusion of virtually everything else.
Postion	Tokenization
1	News
2	coverage
3	of
4	the
5	president’s
6	president
7	’s
8	years
9	in
10	the
11	Guard
12	has
13	tended
14	to
15	focus
16	on
17	one
18	brief
19	portion
20	of
21	that
22	time
23	—
24	to
25	the
26	exclusion
27	of
28	virtually
29	everything
30	else
31	.
Position	Tokenization	UPOS	Head	Deprel
1	News	NOUN	2	compound
2	coverage	NOUN	12	nsubj
3	of	ADP	7	case
4	the	DET	5	det
5	president’s	_	None	_
6	president	NOUN	7	nmod:poss
7	’s	PART	5	case
8	years	NOUN	2	nmod
9	in	ADP	10	case
10	the	DET	10	det
11	Guard	PROPN	7	nmod
12	has	AUX	12	aux
13	tended	VERB	0	root
14	to	PART	14	mark
15	focus	VERB	12	xcomp
16	on	ADP	18	case
17	one	NUM	18	nummod
18	brief	ADJ	18	amod
19	portion	NOUN	14	obl
20	of	ADP	21	case
21	that	DET	21	det
22	time	NOUN	18	nmod
23	—	PUNCT	14	punct
24	to	ADP	25	case
25	the	DET	25	det
26	exclusion	NOUN	14	obl
27	of	ADP	28	case
28	virtually	ADV	28	advmod
29	everything	PRON	25	nmod
30	else	ADJ	28	amod
31	.	PUNCT	12	punct