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:
El presidente del Gobierno de Navarra, Miguel Sanz, de UPN, ha vuelto, tras el atentado de San Sebastián, a realizar un llamamiento al conjunto de los partidos democráticos "para que sigamos trabajando desde la unidad por erradicar a estos criminales".
Postion	Tokenization
1	El
2	presidente
3	del
4	Gobierno
5	de
6	Navarra
7	,
8	Miguel
9	Sanz
10	,
11	de
12	UPN
13	,
14	ha
15	vuelto
16	,
17	tras
18	el
19	atentado
20	de
21	San
22	Sebastián
23	,
24	a
25	realizar
26	un
27	llamamiento
28	al
29	conjunto
30	de
31	los
32	partidos
33	democráticos
34	"
35	para
36	que
37	sigamos
38	trabajando
39	desde
40	la
41	unidad
42	por
43	erradicar
44	a
45	estos
46	criminales
47	"
48	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	15	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	de	ADP	6	case
6	Navarra	PROPN	4	flat
7	,	PUNCT	8	punct
8	Miguel	PROPN	2	appos
9	Sanz	PROPN	8	flat
10	,	PUNCT	8	punct
11	de	ADP	12	case
12	UPN	PROPN	2	nmod
13	,	PUNCT	12	punct
14	ha	AUX	15	aux
15	vuelto	VERB	0	root
16	,	PUNCT	19	punct
17	tras	ADP	19	case
18	el	DET	19	det
19	atentado	NOUN	15	obl
20	de	ADP	21	case
21	San	PROPN	19	nmod
22	Sebastián	PROPN	21	flat
23	,	PUNCT	19	punct
24	a	ADP	25	mark
25	realizar	VERB	15	xcomp
26	un	DET	27	det
27	llamamiento	NOUN	15	obj
28	al	ADP	29	case
29	conjunto	NOUN	27	nmod
30	de	ADP	32	case
31	los	DET	32	det
32	partidos	NOUN	29	nmod
33	democráticos	ADJ	32	amod
34	"	PUNCT	37	punct
35	para	ADP	37	mark
36	que	SCONJ	37	mark
37	sigamos	VERB	25	advcl
38	trabajando	VERB	37	xcomp
39	desde	ADP	41	case
40	la	DET	41	det
41	unidad	NOUN	37	obl
42	por	ADP	43	mark
43	erradicar	VERB	38	advcl
44	a	ADP	46	case
45	estos	DET	46	det
46	criminales	NOUN	43	obj
47	"	PUNCT	37	punct
48	.	PUNCT	15	punct