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:
Los artificieros de la Guardia Civil y del Ejército que han peinado las playas de Tarragona, Salou (Tarragonès) y Cambrils (Baix Camp) no han localizado ningún artefacto durante el fin de semana.
Postion	Tokenization
1	Los
2	artificieros
3	de
4	la
5	Guardia
6	Civil
7	y
8	del
9	Ejército
10	que
11	han
12	peinado
13	las
14	playas
15	de
16	Tarragona
17	,
18	Salou
19	(
20	Tarragonès
21	)
22	y
23	Cambrils
24	(
25	Baix
26	Camp
27	)
28	no
29	han
30	localizado
31	ningún
32	artefacto
33	durante
34	el
35	fin
36	de
37	semana
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	artificieros	NOUN	30	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Guardia	PROPN	2	nmod
6	Civil	PROPN	5	flat
7	y	CCONJ	9	cc
8	del	ADP	9	case
9	Ejército	PROPN	5	conj
10	que	PRON	12	nsubj
11	han	AUX	12	aux
12	peinado	VERB	2	acl
13	las	DET	14	det
14	playas	NOUN	12	obj
15	de	ADP	16	case
16	Tarragona	PROPN	14	nmod
17	,	PUNCT	18	punct
18	Salou	PROPN	16	conj
19	(	PUNCT	20	punct
20	Tarragonès	PROPN	18	flat
21	)	PUNCT	20	punct
22	y	CCONJ	23	cc
23	Cambrils	PROPN	16	conj
24	(	PUNCT	25	punct
25	Baix	ADJ	23	flat
26	Camp	PROPN	25	flat
27	)	PUNCT	25	punct
28	no	ADV	30	advmod
29	han	AUX	30	aux
30	localizado	VERB	0	root
31	ningún	DET	32	det
32	artefacto	NOUN	30	obj
33	durante	ADP	35	case
34	el	DET	35	det
35	fin	NOUN	30	obl
36	de	ADP	37	case
37	semana	NOUN	35	nmod
38	.	PUNCT	30	punct