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:
When Johnson deployed troops in 1964 he was advised by the military it would take a half-million troops about ten years to pacify South Vietnam.
Postion	Tokenization
1	When
2	Johnson
3	deployed
4	troops
5	in
6	1964
7	he
8	was
9	advised
10	by
11	the
12	military
13	it
14	would
15	take
16	a
17	half
18	-
19	million
20	troops
21	about
22	ten
23	years
24	to
25	pacify
26	South
27	Vietnam
28	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	3	mark
2	Johnson	PROPN	3	nsubj
3	deployed	VERB	9	advcl
4	troops	NOUN	3	obj
5	in	ADP	6	case
6	1964	NUM	3	obl
7	he	PRON	9	nsubj:pass
8	was	AUX	9	aux:pass
9	advised	VERB	0	root
10	by	ADP	12	case
11	the	DET	12	det
12	military	ADJ	9	obl
13	it	PRON	15	expl
14	would	AUX	15	aux
15	take	VERB	9	ccomp
16	a	DET	19	det
17	half	NOUN	19	compound
18	-	PUNCT	17	punct
19	million	NUM	20	nummod
20	troops	NOUN	15	nsubj
21	about	ADV	22	advmod
22	ten	NUM	23	nummod
23	years	NOUN	15	obl:tmod
24	to	PART	25	mark
25	pacify	VERB	15	csubj
26	South	PROPN	27	compound
27	Vietnam	PROPN	25	obj
28	.	PUNCT	9	punct