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:
Idéntica subida del 10% han experimentado los delitos de impago de pensiones compensatorias a los EX cónyuges y por cuidado de los hijos (9.101 casos).
Postion	Tokenization
1	Idéntica
2	subida
3	del
4	10%
5	han
6	experimentado
7	los
8	delitos
9	de
10	impago
11	de
12	pensiones
13	compensatorias
14	a
15	los
16	EX
17	cónyuges
18	y
19	por
20	cuidado
21	de
22	los
23	hijos
24	(
25	9.101
26	casos
27	)
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Idéntica	ADJ	2	amod
2	subida	NOUN	6	obj
3	del	ADP	4	case
4	10%	SYM	2	nmod
5	han	AUX	6	aux
6	experimentado	VERB	0	root
7	los	DET	8	det
8	delitos	NOUN	6	nsubj
9	de	ADP	10	case
10	impago	NOUN	8	nmod
11	de	ADP	12	case
12	pensiones	NOUN	10	nmod
13	compensatorias	ADJ	12	amod
14	a	ADP	17	case
15	los	DET	17	det
16	EX	ADJ	17	amod
17	cónyuges	NOUN	10	nmod
18	y	CCONJ	20	cc
19	por	ADP	20	case
20	cuidado	NOUN	10	conj
21	de	ADP	23	case
22	los	DET	23	det
23	hijos	NOUN	20	nmod
24	(	PUNCT	26	punct
25	9.101	NUM	26	nummod
26	casos	NOUN	6	dep
27	)	PUNCT	26	punct
28	.	PUNCT	6	punct