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:
What I saw was dozens of school buses submerged that could have been used to evacuate people who had no transportation.
Postion	Tokenization
1	What
2	I
3	saw
4	was
5	dozens
6	of
7	school
8	buses
9	submerged
10	that
11	could
12	have
13	been
14	used
15	to
16	evacuate
17	people
18	who
19	had
20	no
21	transportation
22	.
Position	Tokenization	UPOS	Head	Deprel
1	What	PRON	5	nsubj
2	I	PRON	3	nsubj
3	saw	VERB	1	acl:relcl
4	was	AUX	5	cop
5	dozens	NOUN	0	root
6	of	ADP	8	case
7	school	NOUN	8	compound
8	buses	NOUN	5	nmod
9	submerged	VERB	8	acl
10	that	PRON	14	nsubj:pass
11	could	AUX	14	aux
12	have	AUX	14	aux
13	been	AUX	14	aux:pass
14	used	VERB	8	acl:relcl
15	to	PART	16	mark
16	evacuate	VERB	14	xcomp
17	people	NOUN	16	obj
18	who	PRON	19	nsubj
19	had	VERB	17	acl:relcl
20	no	DET	21	det
21	transportation	NOUN	19	obj
22	.	PUNCT	5	punct