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:
Both bathrooms look like they were flooded and the wood cabinets are thrashed at the bottom and they slapped some pieces of wood over to try to cover it up.
Postion	Tokenization
1	Both
2	bathrooms
3	look
4	like
5	they
6	were
7	flooded
8	and
9	the
10	wood
11	cabinets
12	are
13	thrashed
14	at
15	the
16	bottom
17	and
18	they
19	slapped
20	some
21	pieces
22	of
23	wood
24	over
25	to
26	try
27	to
28	cover
29	it
30	up
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Both	DET	2	det
2	bathrooms	NOUN	3	nsubj
3	look	VERB	0	root
4	like	SCONJ	7	mark
5	they	PRON	7	nsubj:pass
6	were	AUX	7	aux:pass
7	flooded	VERB	3	advcl
8	and	CCONJ	13	cc
9	the	DET	11	det
10	wood	NOUN	11	compound
11	cabinets	NOUN	13	nsubj:pass
12	are	AUX	13	aux:pass
13	thrashed	VERB	3	conj
14	at	ADP	16	case
15	the	DET	16	det
16	bottom	NOUN	13	obl
17	and	CCONJ	19	cc
18	they	PRON	19	nsubj
19	slapped	VERB	13	conj
20	some	DET	21	det
21	pieces	NOUN	19	obj
22	of	ADP	23	case
23	wood	NOUN	21	nmod
24	over	ADV	19	advmod
25	to	PART	26	mark
26	try	VERB	19	advcl
27	to	PART	28	mark
28	cover	VERB	26	xcomp
29	it	PRON	28	obj
30	up	ADP	28	compound:prt
31	.	PUNCT	3	punct