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 marcha, convocada por el Colectivo de Apoyo a los Presos, partió de la plaza de Urquinaona y se dirigió a la Conselleria de Justícia, donde hicieron pintadas.
Postion	Tokenization
1	La
2	marcha
3	,
4	convocada
5	por
6	el
7	Colectivo
8	de
9	Apoyo
10	a
11	los
12	Presos
13	,
14	partió
15	de
16	la
17	plaza
18	de
19	Urquinaona
20	y
21	se
22	dirigió
23	a
24	la
25	Conselleria
26	de
27	Justícia
28	,
29	donde
30	hicieron
31	pintadas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	marcha	NOUN	14	nsubj
3	,	PUNCT	4	punct
4	convocada	ADJ	2	amod
5	por	ADP	7	case
6	el	DET	7	det
7	Colectivo	PROPN	4	obj
8	de	ADP	9	case
9	Apoyo	PROPN	7	flat
10	a	ADP	12	case
11	los	DET	12	det
12	Presos	PROPN	7	flat
13	,	PUNCT	4	punct
14	partió	VERB	0	root
15	de	ADP	17	case
16	la	DET	17	det
17	plaza	NOUN	14	obl
18	de	ADP	19	case
19	Urquinaona	PROPN	17	nmod
20	y	CCONJ	22	cc
21	se	PRON	22	expl:pv
22	dirigió	VERB	14	conj
23	a	ADP	25	case
24	la	DET	25	det
25	Conselleria	PROPN	22	obl
26	de	ADP	27	case
27	Justícia	PROPN	25	flat
28	,	PUNCT	30	punct
29	donde	PRON	30	obl
30	hicieron	VERB	25	acl
31	pintadas	NOUN	30	obj
32	.	PUNCT	14	punct