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:
Walls keeping water out of the bowl-shaped city have been breached, and emergency teams are using helicopters to drop 1,350kg (3,000lb) sandbags and concrete barriers into the gaps.
Postion	Tokenization
1	Walls
2	keeping
3	water
4	out
5	of
6	the
7	bowl
8	-
9	shaped
10	city
11	have
12	been
13	breached
14	,
15	and
16	emergency
17	teams
18	are
19	using
20	helicopters
21	to
22	drop
23	1,350
24	kg
25	(
26	3,000
27	lb
28	)
29	sandbags
30	and
31	concrete
32	barriers
33	into
34	the
35	gaps
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Walls	NOUN	13	nsubj:pass
2	keeping	VERB	1	acl
3	water	NOUN	2	obj
4	out	ADP	10	case
5	of	ADP	10	case
6	the	DET	10	det
7	bowl	NOUN	9	obl:npmod
8	-	PUNCT	9	punct
9	shaped	ADJ	10	amod
10	city	NOUN	2	obl
11	have	AUX	13	aux
12	been	AUX	13	aux:pass
13	breached	VERB	0	root
14	,	PUNCT	19	punct
15	and	CCONJ	19	cc
16	emergency	NOUN	17	compound
17	teams	NOUN	19	nsubj
18	are	AUX	19	aux
19	using	VERB	13	conj
20	helicopters	NOUN	19	obj
21	to	PART	22	mark
22	drop	VERB	19	xcomp
23	1,350	NUM	24	nummod
24	kg	NOUN	29	compound
25	(	PUNCT	27	punct
26	3,000	NUM	27	nummod
27	lb	NOUN	24	appos
28	)	PUNCT	27	punct
29	sandbags	NOUN	22	obj
30	and	CCONJ	32	cc
31	concrete	NOUN	32	compound
32	barriers	NOUN	29	conj
33	into	ADP	35	case
34	the	DET	35	det
35	gaps	NOUN	22	obl
36	.	PUNCT	13	punct