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:
Otros 20 operarios, señaló Frigola, debían llegar entre las 4.30 y las cinco de la mañana, provistos de dos camiones de recogida, dos cisternas de limpieza y dos barredoras.
Postion	Tokenization
1	Otros
2	20
3	operarios
4	,
5	señaló
6	Frigola
7	,
8	debían
9	llegar
10	entre
11	las
12	4.30
13	y
14	las
15	cinco
16	de
17	la
18	mañana
19	,
20	provistos
21	de
22	dos
23	camiones
24	de
25	recogida
26	,
27	dos
28	cisternas
29	de
30	limpieza
31	y
32	dos
33	barredoras
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Otros	PRON	2	nmod
2	20	NUM	3	nummod
3	operarios	NOUN	9	nsubj
4	,	PUNCT	5	punct
5	señaló	VERB	9	parataxis
6	Frigola	PROPN	5	nsubj
7	,	PUNCT	5	punct
8	debían	AUX	9	aux
9	llegar	VERB	0	root
10	entre	ADP	12	case
11	las	DET	12	det
12	4.30	NOUN	9	obl
13	y	CCONJ	15	cc
14	las	DET	15	det
15	cinco	NOUN	12	conj
16	de	ADP	18	case
17	la	DET	18	det
18	mañana	NOUN	12	nmod
19	,	PUNCT	20	punct
20	provistos	ADJ	9	obj
21	de	ADP	23	case
22	dos	NUM	23	nummod
23	camiones	NOUN	20	obj
24	de	ADP	25	case
25	recogida	NOUN	23	nmod
26	,	PUNCT	28	punct
27	dos	NUM	28	nummod
28	cisternas	NOUN	23	appos
29	de	ADP	30	case
30	limpieza	NOUN	28	nmod
31	y	CCONJ	33	cc
32	dos	NUM	33	nummod
33	barredoras	NOUN	23	conj
34	.	PUNCT	9	punct