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:
Y ya se sabe que si algo hace bien Federico Trillo es comunicar, con fuerza y con huevos... ¿O no?.
Postion	Tokenization
1	Y
2	ya
3	se
4	sabe
5	que
6	si
7	algo
8	hace
9	bien
10	Federico
11	Trillo
12	es
13	comunicar
14	,
15	con
16	fuerza
17	y
18	con
19	huevos
20	...
21	¿
22	O
23	no
24	?
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	4	advmod
2	ya	ADV	4	advmod
3	se	PRON	4	expl:pass
4	sabe	VERB	0	root
5	que	SCONJ	12	mark
6	si	SCONJ	8	mark
7	algo	PRON	8	obj
8	hace	VERB	12	csubj
9	bien	ADV	8	advmod
10	Federico	PROPN	8	nsubj
11	Trillo	PROPN	10	flat
12	es	AUX	4	csubj
13	comunicar	VERB	12	ccomp
14	,	PUNCT	16	punct
15	con	ADP	16	case
16	fuerza	NOUN	13	obl
17	y	CCONJ	19	cc
18	con	ADP	19	case
19	huevos	NOUN	16	conj
20	...	PUNCT	4	punct
21	¿	PUNCT	23	punct
22	O	CCONJ	23	cc
23	no	ADV	4	parataxis
24	?	PUNCT	23	punct
25	.	PUNCT	4	punct