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:
Las editoriales de Madrid nos devolvieron las primeras muestras que enviamos diciendo que la historia no tenía ni pies ni cabeza, que era una provocación.
Postion	Tokenization
1	Las
2	editoriales
3	de
4	Madrid
5	nos
6	devolvieron
7	las
8	primeras
9	muestras
10	que
11	enviamos
12	diciendo
13	que
14	la
15	historia
16	no
17	tenía
18	ni
19	pies
20	ni
21	cabeza
22	,
23	que
24	era
25	una
26	provocación
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	editoriales	NOUN	6	nsubj
3	de	ADP	4	case
4	Madrid	PROPN	2	nmod
5	nos	PRON	6	iobj
6	devolvieron	VERB	0	root
7	las	DET	9	det
8	primeras	ADJ	9	amod
9	muestras	NOUN	6	obj
10	que	PRON	11	obj
11	enviamos	VERB	9	acl
12	diciendo	VERB	6	advcl
13	que	SCONJ	17	mark
14	la	DET	15	det
15	historia	NOUN	17	nsubj
16	no	ADV	17	advmod
17	tenía	VERB	12	ccomp
18	ni	CCONJ	19	cc
19	pies	NOUN	17	obj
20	ni	CCONJ	21	cc
21	cabeza	NOUN	19	conj
22	,	PUNCT	17	punct
23	que	SCONJ	26	mark
24	era	AUX	26	cop
25	una	DET	26	det
26	provocación	NOUN	17	advcl
27	.	PUNCT	6	punct