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 cierto es que aquí, en Catalunya, la proximidad entre el Govern y algunos periodistas es excesiva, y debería obligar a los lectores a que se hicieran preguntas.
Postion	Tokenization
1	Lo
2	cierto
3	es
4	que
5	aquí
6	,
7	en
8	Catalunya
9	,
10	la
11	proximidad
12	entre
13	el
14	Govern
15	y
16	algunos
17	periodistas
18	es
19	excesiva
20	,
21	y
22	debería
23	obligar
24	a
25	los
26	lectores
27	a
28	que
29	se
30	hicieran
31	preguntas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	2	det
2	cierto	ADJ	3	nsubj
3	es	AUX	0	root
4	que	SCONJ	19	mark
5	aquí	ADV	19	advmod
6	,	PUNCT	8	punct
7	en	ADP	8	case
8	Catalunya	PROPN	5	obl
9	,	PUNCT	8	punct
10	la	DET	11	det
11	proximidad	NOUN	19	nsubj
12	entre	ADP	14	case
13	el	DET	14	det
14	Govern	PROPN	11	nmod
15	y	CCONJ	17	cc
16	algunos	DET	17	det
17	periodistas	NOUN	14	conj
18	es	AUX	19	cop
19	excesiva	ADJ	3	ccomp
20	,	PUNCT	23	punct
21	y	CCONJ	23	cc
22	debería	AUX	23	aux
23	obligar	VERB	19	conj
24	a	ADP	26	case
25	los	DET	26	det
26	lectores	NOUN	23	iobj
27	a	ADP	30	mark
28	que	SCONJ	30	mark
29	se	PRON	30	expl:pass
30	hicieran	VERB	23	ccomp
31	preguntas	NOUN	30	obj
32	.	PUNCT	3	punct