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:
La ciudad industrial de Kragujevac, 130 kilómetros al sur de Belgrado, está bloqueada por miles de ciudadanos concentrados en la plaza principal, y con la mayoría de las tiendas y bancos cerrados.
Postion	Tokenization
1	La
2	ciudad
3	industrial
4	de
5	Kragujevac
6	,
7	130
8	kilómetros
9	al
10	sur
11	de
12	Belgrado
13	,
14	está
15	bloqueada
16	por
17	miles
18	de
19	ciudadanos
20	concentrados
21	en
22	la
23	plaza
24	principal
25	,
26	y
27	con
28	la
29	mayoría
30	de
31	las
32	tiendas
33	y
34	bancos
35	cerrados
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	ciudad	NOUN	15	nsubj
3	industrial	ADJ	2	amod
4	de	ADP	5	case
5	Kragujevac	PROPN	2	nmod
6	,	PUNCT	8	punct
7	130	NUM	8	nummod
8	kilómetros	NOUN	2	appos
9	al	ADP	10	case
10	sur	NOUN	8	nmod
11	de	ADP	12	case
12	Belgrado	PROPN	10	nmod
13	,	PUNCT	8	punct
14	está	AUX	15	cop
15	bloqueada	ADJ	0	root
16	por	ADP	17	case
17	miles	NUM	15	obj
18	de	ADP	19	case
19	ciudadanos	NOUN	17	nmod
20	concentrados	ADJ	19	amod
21	en	ADP	23	case
22	la	DET	23	det
23	plaza	NOUN	20	obl
24	principal	ADJ	23	amod
25	,	PUNCT	32	punct
26	y	CCONJ	32	cc
27	con	ADP	32	case
28	la	DET	29	det
29	mayoría	NOUN	32	nmod
30	de	ADP	29	case
31	las	DET	29	det
32	tiendas	NOUN	15	conj
33	y	CCONJ	34	cc
34	bancos	NOUN	32	conj
35	cerrados	ADJ	32	amod
36	.	PUNCT	15	punct