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:
"En cuanto a las críticas sobre mi estilo de gestionar, las puedo entender y asignaré a la Vicepresidenta para que se encargue de las tareas cotidianas de gestión.
Postion	Tokenization
1	"
2	En
3	cuanto
4	a
5	las
6	críticas
7	sobre
8	mi
9	estilo
10	de
11	gestionar
12	,
13	las
14	puedo
15	entender
16	y
17	asignaré
18	a
19	la
20	Vicepresidenta
21	para
22	que
23	se
24	encargue
25	de
26	las
27	tareas
28	cotidianas
29	de
30	gestión
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	15	punct
2	En	ADP	6	case
3	cuanto	NOUN	2	fixed
4	a	ADP	2	fixed
5	las	DET	6	det
6	críticas	NOUN	15	obl
7	sobre	ADP	9	case
8	mi	DET	9	det
9	estilo	NOUN	6	nmod
10	de	ADP	11	mark
11	gestionar	VERB	9	acl
12	,	PUNCT	6	punct
13	las	PRON	15	obj
14	puedo	AUX	15	aux
15	entender	VERB	0	root
16	y	CCONJ	17	cc
17	asignaré	VERB	15	conj
18	a	ADP	20	case
19	la	DET	20	det
20	Vicepresidenta	PROPN	17	obj
21	para	ADP	24	mark
22	que	SCONJ	24	mark
23	se	PRON	24	expl:pv
24	encargue	VERB	17	advcl
25	de	ADP	27	case
26	las	DET	27	det
27	tareas	NOUN	24	obj
28	cotidianas	ADJ	27	amod
29	de	ADP	30	case
30	gestión	NOUN	27	nmod
31	.	PUNCT	15	punct