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:
A la pasividad tradicional de la directiva del Madrid para acabar con esos delincuentes se sumó ayer la de los agentes que contemplaron la agresión a los periodistas.
Postion	Tokenization
1	A
2	la
3	pasividad
4	tradicional
5	de
6	la
7	directiva
8	del
9	Madrid
10	para
11	acabar
12	con
13	esos
14	delincuentes
15	se
16	sumó
17	ayer
18	la
19	de
20	los
21	agentes
22	que
23	contemplaron
24	la
25	agresión
26	a
27	los
28	periodistas
29	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	la	DET	3	det
3	pasividad	NOUN	16	obj
4	tradicional	ADJ	3	amod
5	de	ADP	7	case
6	la	DET	7	det
7	directiva	NOUN	3	nmod
8	del	ADP	9	case
9	Madrid	PROPN	7	nmod
10	para	ADP	11	mark
11	acabar	VERB	3	acl
12	con	ADP	14	case
13	esos	DET	14	det
14	delincuentes	NOUN	11	obj
15	se	PRON	16	expl:pv
16	sumó	VERB	0	root
17	ayer	ADV	16	advmod
18	la	DET	16	det
19	de	ADP	18	case
20	los	DET	21	det
21	agentes	NOUN	18	nsubj
22	que	PRON	23	nsubj
23	contemplaron	VERB	21	acl
24	la	DET	25	det
25	agresión	NOUN	23	obj
26	a	ADP	28	case
27	los	DET	28	det
28	periodistas	NOUN	25	nmod
29	.	PUNCT	16	punct