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:
However, what they hoped to do during the Tet Offensive was to sneak past the Americans and attack the ARVN in the urban areas where they were deployed doing successful Clear and Defend operations.
Postion	Tokenization
1	However
2	,
3	what
4	they
5	hoped
6	to
7	do
8	during
9	the
10	Tet
11	Offensive
12	was
13	to
14	sneak
15	past
16	the
17	Americans
18	and
19	attack
20	the
21	ARVN
22	in
23	the
24	urban
25	areas
26	where
27	they
28	were
29	deployed
30	doing
31	successful
32	Clear
33	and
34	Defend
35	operations
36	.
Position	Tokenization	UPOS	Head	Deprel
1	However	ADV	12	advmod
2	,	PUNCT	12	punct
3	what	PRON	12	nsubj
4	they	PRON	5	nsubj
5	hoped	VERB	3	acl:relcl
6	to	PART	7	mark
7	do	VERB	5	xcomp
8	during	ADP	11	case
9	the	DET	11	det
10	Tet	PROPN	11	compound
11	Offensive	PROPN	7	obl
12	was	VERB	0	root
13	to	PART	14	mark
14	sneak	VERB	12	ccomp
15	past	ADP	17	case
16	the	DET	17	det
17	Americans	PROPN	14	obl
18	and	CCONJ	19	cc
19	attack	VERB	14	conj
20	the	DET	21	det
21	ARVN	PROPN	19	obj
22	in	ADP	25	case
23	the	DET	25	det
24	urban	ADJ	25	amod
25	areas	NOUN	19	obl
26	where	SCONJ	29	mark
27	they	PRON	29	nsubj:pass
28	were	AUX	29	aux:pass
29	deployed	VERB	25	acl:relcl
30	doing	VERB	29	advcl
31	successful	ADJ	35	amod
32	Clear	VERB	35	compound
33	and	CCONJ	34	cc
34	Defend	VERB	32	conj
35	operations	NOUN	30	obj
36	.	PUNCT	12	punct