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:
Tan creativa que intentaré solucionarle al Mendicutti el problema del nombre de ese hijo que acaba de tener, digamos, por poderes.
Postion	Tokenization
1	Tan
2	creativa
3	que
4	intentaré
5	solucionarle
6	solucionar
7	le
8	al
9	Mendicutti
10	el
11	problema
12	del
13	nombre
14	de
15	ese
16	hijo
17	que
18	acaba
19	de
20	tener
21	,
22	digamos
23	,
24	por
25	poderes
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Tan	ADV	2	advmod
2	creativa	ADJ	0	root
3	que	SCONJ	4	mark
4	intentaré	VERB	2	advcl
5	solucionarle	_	None	_
6	solucionar	VERB	4	xcomp
7	le	PRON	5	obj
8	al	ADP	8	case
9	Mendicutti	PROPN	5	obj
10	el	DET	10	det
11	problema	NOUN	5	obj
12	del	ADP	12	case
13	nombre	NOUN	10	nmod
14	de	ADP	15	case
15	ese	DET	15	det
16	hijo	NOUN	12	nmod
17	que	PRON	19	obj
18	acaba	VERB	15	acl
19	de	ADP	19	mark
20	tener	VERB	17	xcomp
21	,	PUNCT	21	punct
22	digamos	VERB	19	parataxis
23	,	PUNCT	21	punct
24	por	ADP	24	case
25	poderes	NOUN	17	obl
26	.	PUNCT	2	punct