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:
Most of the "talking heads" on television, however, knew only that Daschle and Leahy were liberal democrats and did not know anything of Al Qaeda beyond what they read in the US newspapers.
Postion	Tokenization
1	Most
2	of
3	the
4	"
5	talking
6	heads
7	"
8	on
9	television
10	,
11	however
12	,
13	knew
14	only
15	that
16	Daschle
17	and
18	Leahy
19	were
20	liberal
21	democrats
22	and
23	did
24	not
25	know
26	anything
27	of
28	Al
29	Qaeda
30	beyond
31	what
32	they
33	read
34	in
35	the
36	US
37	newspapers
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Most	ADJ	13	nsubj
2	of	ADP	6	case
3	the	DET	6	det
4	"	PUNCT	6	punct
5	talking	VERB	6	amod
6	heads	NOUN	1	nmod
7	"	PUNCT	6	punct
8	on	ADP	9	case
9	television	NOUN	6	nmod
10	,	PUNCT	13	punct
11	however	ADV	13	advmod
12	,	PUNCT	13	punct
13	knew	VERB	0	root
14	only	ADV	13	advmod
15	that	SCONJ	21	mark
16	Daschle	PROPN	21	nsubj
17	and	CCONJ	18	cc
18	Leahy	PROPN	16	conj
19	were	AUX	21	cop
20	liberal	ADJ	21	amod
21	democrats	NOUN	13	ccomp
22	and	CCONJ	25	cc
23	did	AUX	25	aux
24	not	PART	25	advmod
25	know	VERB	13	conj
26	anything	PRON	25	obj
27	of	ADP	29	case
28	Al	PROPN	29	compound
29	Qaeda	PROPN	26	nmod
30	beyond	SCONJ	33	mark
31	what	PRON	33	obj
32	they	PRON	33	nsubj
33	read	VERB	26	acl
34	in	ADP	37	case
35	the	DET	37	det
36	US	PROPN	37	compound
37	newspapers	NOUN	33	obl
38	.	PUNCT	13	punct