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:
Está claro que no son cosas agradables ni por su parte ni por la mía ", señaló el exjugador barcelonista sobre la conversación con el entrenador.
Postion	Tokenization
1	Está
2	claro
3	que
4	no
5	son
6	cosas
7	agradables
8	ni
9	por
10	su
11	parte
12	ni
13	por
14	la
15	mía
16	"
17	,
18	señaló
19	el
20	exjugador
21	barcelonista
22	sobre
23	la
24	conversación
25	con
26	el
27	entrenador
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Está	AUX	2	cop
2	claro	ADJ	18	ccomp
3	que	SCONJ	6	mark
4	no	ADV	6	advmod
5	son	AUX	6	cop
6	cosas	NOUN	2	csubj
7	agradables	ADJ	6	amod
8	ni	CCONJ	11	cc
9	por	ADP	11	case
10	su	DET	11	det
11	parte	NOUN	6	nmod
12	ni	CCONJ	14	cc
13	por	ADP	14	case
14	la	DET	11	conj
15	mía	DET	14	compound
16	"	PUNCT	2	punct
17	,	PUNCT	2	punct
18	señaló	VERB	0	root
19	el	DET	20	det
20	exjugador	NOUN	18	nsubj
21	barcelonista	ADJ	20	amod
22	sobre	ADP	24	case
23	la	DET	24	det
24	conversación	NOUN	18	obl
25	con	ADP	27	case
26	el	DET	27	det
27	entrenador	NOUN	24	nmod
28	.	PUNCT	18	punct