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:
EL PERIODICO incluye en su primera página una gran foto con el concejal del PP en Durango asesinado en el suelo y cubierto por una sabana ensangrentada y el titular "ETA mata otra vez".
Postion	Tokenization
1	EL
2	PERIODICO
3	incluye
4	en
5	su
6	primera
7	página
8	una
9	gran
10	foto
11	con
12	el
13	concejal
14	del
15	PP
16	en
17	Durango
18	asesinado
19	en
20	el
21	suelo
22	y
23	cubierto
24	por
25	una
26	sabana
27	ensangrentada
28	y
29	el
30	titular
31	"
32	ETA
33	mata
34	otra
35	vez
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	EL	DET	2	det
2	PERIODICO	PROPN	3	nsubj
3	incluye	VERB	0	root
4	en	ADP	7	case
5	su	DET	7	det
6	primera	ADJ	7	amod
7	página	NOUN	3	obl
8	una	DET	10	det
9	gran	ADJ	10	amod
10	foto	NOUN	3	obj
11	con	ADP	13	case
12	el	DET	13	det
13	concejal	NOUN	10	nmod
14	del	ADP	15	case
15	PP	PROPN	13	nmod
16	en	ADP	17	case
17	Durango	PROPN	13	nmod
18	asesinado	ADJ	13	amod
19	en	ADP	21	case
20	el	DET	21	det
21	suelo	NOUN	18	obl
22	y	CCONJ	23	cc
23	cubierto	ADJ	18	conj
24	por	ADP	26	case
25	una	DET	26	det
26	sabana	NOUN	23	obl
27	ensangrentada	ADJ	26	amod
28	y	CCONJ	30	cc
29	el	DET	30	det
30	titular	NOUN	10	conj
31	"	PUNCT	32	punct
32	ETA	PROPN	30	appos
33	mata	PROPN	32	flat
34	otra	PROPN	32	flat
35	vez	PROPN	32	flat
36	"	PUNCT	32	punct
37	.	PUNCT	3	punct