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:
Una banda de 40 encapuchados atacó durante la madrugada de ayer con cócteles molotov la casa cuartel de la Guardia Civil en el barrio de Algorta, en Getxo.
Postion	Tokenization
1	Una
2	banda
3	de
4	40
5	encapuchados
6	atacó
7	durante
8	la
9	madrugada
10	de
11	ayer
12	con
13	cócteles
14	molotov
15	la
16	casa
17	cuartel
18	de
19	la
20	Guardia
21	Civil
22	en
23	el
24	barrio
25	de
26	Algorta
27	,
28	en
29	Getxo
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	banda	NOUN	6	nsubj
3	de	ADP	5	case
4	40	NUM	5	nummod
5	encapuchados	NOUN	2	nmod
6	atacó	VERB	0	root
7	durante	ADP	9	case
8	la	DET	9	det
9	madrugada	NOUN	6	obl
10	de	ADP	11	case
11	ayer	ADV	9	advmod
12	con	ADP	13	case
13	cócteles	NOUN	6	obl
14	molotov	NOUN	13	nmod
15	la	DET	16	det
16	casa	NOUN	6	obj
17	cuartel	NOUN	16	compound
18	de	ADP	20	case
19	la	DET	20	det
20	Guardia	PROPN	16	nmod
21	Civil	PROPN	20	flat
22	en	ADP	24	case
23	el	DET	24	det
24	barrio	NOUN	16	nmod
25	de	ADP	26	case
26	Algorta	PROPN	24	nmod
27	,	PUNCT	29	punct
28	en	ADP	29	case
29	Getxo	PROPN	16	nmod
30	.	PUNCT	6	punct