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:
Lo difícil es saber hasta qué punto la oposición, los mecanismos de control, los periódicos, el Parlamento, deben presionar sin empujar tanto que se caiga el edificio democrático.
Postion	Tokenization
1	Lo
2	difícil
3	es
4	saber
5	hasta
6	qué
7	punto
8	la
9	oposición
10	,
11	los
12	mecanismos
13	de
14	control
15	,
16	los
17	periódicos
18	,
19	el
20	Parlamento
21	,
22	deben
23	presionar
24	sin
25	empujar
26	tanto
27	que
28	se
29	caiga
30	el
31	edificio
32	democrático
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	2	det
2	difícil	ADJ	3	nsubj
3	es	AUX	0	root
4	saber	AUX	23	aux
5	hasta	ADP	7	case
6	qué	DET	7	det
7	punto	NOUN	23	obl
8	la	DET	9	det
9	oposición	NOUN	23	nsubj
10	,	PUNCT	9	punct
11	los	DET	12	det
12	mecanismos	NOUN	9	appos
13	de	ADP	14	case
14	control	NOUN	12	nmod
15	,	PUNCT	9	punct
16	los	DET	17	det
17	periódicos	NOUN	9	appos
18	,	PUNCT	9	punct
19	el	DET	20	det
20	Parlamento	PROPN	9	appos
21	,	PUNCT	9	punct
22	deben	AUX	23	aux
23	presionar	VERB	3	ccomp
24	sin	ADP	25	mark
25	empujar	VERB	23	advcl
26	tanto	ADV	25	advmod
27	que	SCONJ	29	mark
28	se	PRON	29	expl:pv
29	caiga	VERB	26	advcl
30	el	DET	31	det
31	edificio	NOUN	29	nsubj
32	democrático	ADJ	31	amod
33	.	PUNCT	3	punct