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:
"Some sections of the city which are dry now could see nine or 10 feet (some 3m) of water," he said.
Postion	Tokenization
1	"
2	Some
3	sections
4	of
5	the
6	city
7	which
8	are
9	dry
10	now
11	could
12	see
13	nine
14	or
15	10
16	feet
17	(
18	some
19	3
20	m
21	)
22	of
23	water
24	,
25	"
26	he
27	said
28	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	27	punct
2	Some	DET	3	det
3	sections	NOUN	12	nsubj
4	of	ADP	6	case
5	the	DET	6	det
6	city	NOUN	3	nmod
7	which	PRON	9	nsubj
8	are	AUX	9	cop
9	dry	ADJ	3	acl:relcl
10	now	ADV	9	advmod
11	could	AUX	12	aux
12	see	VERB	27	ccomp
13	nine	NUM	16	nummod
14	or	CCONJ	15	cc
15	10	NUM	13	conj
16	feet	NOUN	12	obj
17	(	PUNCT	20	punct
18	some	DET	20	det
19	3	NUM	20	nummod
20	m	NOUN	16	appos
21	)	PUNCT	20	punct
22	of	ADP	23	case
23	water	NOUN	16	nmod
24	,	PUNCT	27	punct
25	"	PUNCT	27	punct
26	he	PRON	27	nsubj
27	said	VERB	0	root
28	.	PUNCT	27	punct