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:
Instead he pulled the military off, stopped the bombing of North Vietnam, withdrew from the presidential race, and spent the rest of his term in office trying to surrender to North Vietnam.
Postion	Tokenization
1	Instead
2	he
3	pulled
4	the
5	military
6	off
7	,
8	stopped
9	the
10	bombing
11	of
12	North
13	Vietnam
14	,
15	withdrew
16	from
17	the
18	presidential
19	race
20	,
21	and
22	spent
23	the
24	rest
25	of
26	his
27	term
28	in
29	office
30	trying
31	to
32	surrender
33	to
34	North
35	Vietnam
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Instead	ADV	3	advmod
2	he	PRON	3	nsubj
3	pulled	VERB	0	root
4	the	DET	5	det
5	military	ADJ	3	obj
6	off	ADP	3	compound:prt
7	,	PUNCT	8	punct
8	stopped	VERB	3	conj
9	the	DET	10	det
10	bombing	NOUN	8	obj
11	of	ADP	13	case
12	North	PROPN	13	compound
13	Vietnam	PROPN	10	nmod
14	,	PUNCT	15	punct
15	withdrew	VERB	3	conj
16	from	ADP	19	case
17	the	DET	19	det
18	presidential	ADJ	19	amod
19	race	NOUN	15	obl
20	,	PUNCT	22	punct
21	and	CCONJ	22	cc
22	spent	VERB	3	conj
23	the	DET	24	det
24	rest	NOUN	22	obj
25	of	ADP	27	case
26	his	PRON	27	nmod:poss
27	term	NOUN	24	nmod
28	in	ADP	29	case
29	office	NOUN	27	nmod
30	trying	VERB	22	advcl
31	to	PART	32	mark
32	surrender	VERB	30	xcomp
33	to	ADP	35	case
34	North	PROPN	35	compound
35	Vietnam	PROPN	32	obl
36	.	PUNCT	3	punct