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:
The media coverage has been seriously confused on the issue of motive and the reason Senators Daschle and Leahy would have been targeted -- tending to simplistically view them as "liberals."
Postion	Tokenization
1	The
2	media
3	coverage
4	has
5	been
6	seriously
7	confused
8	on
9	the
10	issue
11	of
12	motive
13	and
14	the
15	reason
16	Senators
17	Daschle
18	and
19	Leahy
20	would
21	have
22	been
23	targeted
24	--
25	tending
26	to
27	simplistically
28	view
29	them
30	as
31	"
32	liberals
33	.
34	"
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	media	NOUN	3	compound
3	coverage	NOUN	7	nsubj
4	has	AUX	7	aux
5	been	AUX	7	cop
6	seriously	ADV	7	advmod
7	confused	ADJ	0	root
8	on	ADP	10	case
9	the	DET	10	det
10	issue	NOUN	7	obl
11	of	ADP	12	case
12	motive	NOUN	10	nmod
13	and	CCONJ	15	cc
14	the	DET	15	det
15	reason	NOUN	12	conj
16	Senators	PROPN	23	nsubj:pass
17	Daschle	PROPN	16	flat
18	and	CCONJ	19	cc
19	Leahy	PROPN	16	conj
20	would	AUX	23	aux
21	have	AUX	23	aux
22	been	AUX	23	aux:pass
23	targeted	VERB	15	acl:relcl
24	--	PUNCT	7	punct
25	tending	VERB	7	advcl
26	to	PART	28	mark
27	simplistically	ADV	28	advmod
28	view	VERB	25	xcomp
29	them	PRON	28	obj
30	as	ADP	32	case
31	"	PUNCT	32	punct
32	liberals	NOUN	28	obl
33	.	PUNCT	7	punct
34	"	PUNCT	7	punct