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:
Según datos del ministerio del Interior se han instalado 11.134 centros electorales repartidos por las trece provincias de Siria, así como en sus embajadas en el extranjero.
Postion	Tokenization
1	Según
2	datos
3	del
4	ministerio
5	del
6	Interior
7	se
8	han
9	instalado
10	11.134
11	centros
12	electorales
13	repartidos
14	por
15	las
16	trece
17	provincias
18	de
19	Siria
20	,
21	así
22	como
23	en
24	sus
25	embajadas
26	en
27	el
28	extranjero
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	datos	NOUN	9	obl
3	del	ADP	4	case
4	ministerio	NOUN	2	nmod
5	del	ADP	6	case
6	Interior	PROPN	4	nmod
7	se	PRON	9	expl:pass
8	han	AUX	9	aux
9	instalado	VERB	0	root
10	11.134	NUM	11	nummod
11	centros	NOUN	9	nsubj
12	electorales	ADJ	11	amod
13	repartidos	ADJ	11	amod
14	por	ADP	17	case
15	las	DET	17	det
16	trece	NUM	15	nummod
17	provincias	NOUN	13	obl
18	de	ADP	19	case
19	Siria	PROPN	17	nmod
20	,	PUNCT	21	punct
21	así	ADV	11	advmod
22	como	SCONJ	21	fixed
23	en	ADP	21	case
24	sus	DET	25	det
25	embajadas	NOUN	21	nmod
26	en	ADP	28	case
27	el	DET	28	det
28	extranjero	NOUN	25	nmod
29	.	PUNCT	9	punct