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:
Los nacionalistas tienen una dura labor de gobierno si quieren hacer la Catalunya plena, que no sea discriminada, con un gobierno al lado de los catalanes y no distante.
Postion	Tokenization
1	Los
2	nacionalistas
3	tienen
4	una
5	dura
6	labor
7	de
8	gobierno
9	si
10	quieren
11	hacer
12	la
13	Catalunya
14	plena
15	,
16	que
17	no
18	sea
19	discriminada
20	,
21	con
22	un
23	gobierno
24	al
25	lado
26	de
27	los
28	catalanes
29	y
30	no
31	distante
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	nacionalistas	NOUN	3	nsubj
3	tienen	VERB	0	root
4	una	DET	6	det
5	dura	ADJ	6	amod
6	labor	NOUN	3	obj
7	de	ADP	8	case
8	gobierno	NOUN	6	nmod
9	si	SCONJ	10	mark
10	quieren	VERB	3	advcl
11	hacer	VERB	10	xcomp
12	la	DET	13	det
13	Catalunya	PROPN	11	obj
14	plena	ADJ	13	amod
15	,	PUNCT	19	punct
16	que	PRON	19	nsubj
17	no	ADV	19	advmod
18	sea	AUX	19	aux
19	discriminada	VERB	13	acl
20	,	PUNCT	23	punct
21	con	ADP	23	case
22	un	DET	23	det
23	gobierno	NOUN	11	obl
24	al	ADP	28	case
25	lado	NOUN	24	fixed
26	de	ADP	24	fixed
27	los	DET	28	det
28	catalanes	NOUN	23	nmod
29	y	CCONJ	31	cc
30	no	ADV	31	advmod
31	distante	ADJ	28	conj
32	.	PUNCT	3	punct