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:
Third, with the "new age" Efrem Zimbalist, Jr. in charge of the investigation, it is not likely we could do better in striking the appropriate balance between due process and national security.
Postion	Tokenization
1	Third
2	,
3	with
4	the
5	"
6	new
7	age
8	"
9	Efrem
10	Zimbalist
11	,
12	Jr.
13	in
14	charge
15	of
16	the
17	investigation
18	,
19	it
20	is
21	not
22	likely
23	we
24	could
25	do
26	better
27	in
28	striking
29	the
30	appropriate
31	balance
32	between
33	due
34	process
35	and
36	national
37	security
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Third	ADV	22	advmod
2	,	PUNCT	22	punct
3	with	SCONJ	14	mark
4	the	DET	9	det
5	"	PUNCT	7	punct
6	new	ADJ	7	amod
7	age	NOUN	9	compound
8	"	PUNCT	7	punct
9	Efrem	PROPN	14	nsubj
10	Zimbalist	PROPN	9	flat
11	,	PUNCT	9	punct
12	Jr.	PROPN	9	flat
13	in	ADP	14	case
14	charge	NOUN	22	advcl
15	of	ADP	17	case
16	the	DET	17	det
17	investigation	NOUN	14	nmod
18	,	PUNCT	22	punct
19	it	PRON	22	nsubj
20	is	AUX	22	cop
21	not	PART	22	advmod
22	likely	ADJ	0	root
23	we	PRON	25	nsubj
24	could	AUX	25	aux
25	do	VERB	22	ccomp
26	better	ADV	25	advmod
27	in	SCONJ	28	mark
28	striking	VERB	25	advcl
29	the	DET	31	det
30	appropriate	ADJ	31	amod
31	balance	NOUN	28	obj
32	between	ADP	34	case
33	due	ADJ	34	amod
34	process	NOUN	31	nmod
35	and	CCONJ	37	cc
36	national	ADJ	37	amod
37	security	NOUN	34	conj
38	.	PUNCT	22	punct