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:
Todo ello sin sucumbir a la "tentación" de recurrir a la represión y eludiendo la corrupción, problemas que, según ambos, eran característicos del antiguo presidente.
Postion	Tokenization
1	Todo
2	ello
3	sin
4	sucumbir
5	a
6	la
7	"
8	tentación
9	"
10	de
11	recurrir
12	a
13	la
14	represión
15	y
16	eludiendo
17	la
18	corrupción
19	,
20	problemas
21	que
22	,
23	según
24	ambos
25	,
26	eran
27	característicos
28	del
29	antiguo
30	presidente
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Todo	DET	2	det
2	ello	PRON	16	obj
3	sin	ADP	4	mark
4	sucumbir	VERB	0	root
5	a	ADP	8	case
6	la	DET	8	det
7	"	PUNCT	8	punct
8	tentación	NOUN	4	obl
9	"	PUNCT	8	punct
10	de	ADP	11	mark
11	recurrir	VERB	8	acl
12	a	ADP	14	case
13	la	DET	14	det
14	represión	NOUN	11	obj
15	y	CCONJ	16	cc
16	eludiendo	VERB	4	conj
17	la	DET	18	det
18	corrupción	NOUN	16	obj
19	,	PUNCT	20	punct
20	problemas	NOUN	16	obj
21	que	PRON	27	nsubj
22	,	PUNCT	24	punct
23	según	ADP	24	case
24	ambos	NUM	27	obl
25	,	PUNCT	24	punct
26	eran	AUX	27	cop
27	característicos	ADJ	20	acl
28	del	ADP	30	case
29	antiguo	ADJ	30	amod
30	presidente	NOUN	27	nmod
31	.	PUNCT	4	punct