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:
La Guardia Civil recordó ayer que dispone en Lleida de un grupo operativo las 24 horas con dos agentes, un suboficial, dos perros adiestrados y un robot.
Postion	Tokenization
1	La
2	Guardia
3	Civil
4	recordó
5	ayer
6	que
7	dispone
8	en
9	Lleida
10	de
11	un
12	grupo
13	operativo
14	las
15	24
16	horas
17	con
18	dos
19	agentes
20	,
21	un
22	suboficial
23	,
24	dos
25	perros
26	adiestrados
27	y
28	un
29	robot
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Guardia	PROPN	4	nsubj
3	Civil	PROPN	2	flat
4	recordó	VERB	0	root
5	ayer	ADV	4	advmod
6	que	SCONJ	7	mark
7	dispone	VERB	4	ccomp
8	en	ADP	9	case
9	Lleida	PROPN	7	obl
10	de	ADP	12	case
11	un	DET	12	det
12	grupo	NOUN	7	obj
13	operativo	ADJ	12	amod
14	las	DET	15	det
15	24	NUM	16	nummod
16	horas	NOUN	7	obl
17	con	ADP	19	case
18	dos	NUM	19	nummod
19	agentes	NOUN	7	obl
20	,	PUNCT	22	punct
21	un	DET	22	det
22	suboficial	NOUN	19	appos
23	,	PUNCT	25	punct
24	dos	NUM	25	nummod
25	perros	NOUN	19	appos
26	adiestrados	ADJ	25	amod
27	y	CCONJ	29	cc
28	un	DET	29	det
29	robot	NOUN	19	conj
30	.	PUNCT	4	punct