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:
Precisamente, para debatir el tema del arbolado viario, el pasado año elaboramos un plan estratégico que se presentó públicamente en unas jornadas en el Hivernacle del parque de la Ciutadella.
Postion	Tokenization
1	Precisamente
2	,
3	para
4	debatir
5	el
6	tema
7	del
8	arbolado
9	viario
10	,
11	el
12	pasado
13	año
14	elaboramos
15	un
16	plan
17	estratégico
18	que
19	se
20	presentó
21	públicamente
22	en
23	unas
24	jornadas
25	en
26	el
27	Hivernacle
28	del
29	parque
30	de
31	la
32	Ciutadella
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Precisamente	ADV	14	advmod
2	,	PUNCT	4	punct
3	para	ADP	4	mark
4	debatir	VERB	14	advcl
5	el	DET	6	det
6	tema	NOUN	4	obj
7	del	ADP	8	case
8	arbolado	NOUN	6	nmod
9	viario	ADJ	8	amod
10	,	PUNCT	4	punct
11	el	DET	13	det
12	pasado	ADJ	13	amod
13	año	NOUN	14	obl
14	elaboramos	VERB	0	root
15	un	DET	16	det
16	plan	NOUN	14	obj
17	estratégico	ADJ	16	amod
18	que	PRON	20	nsubj
19	se	PRON	20	expl:pass
20	presentó	VERB	16	acl
21	públicamente	ADV	20	advmod
22	en	ADP	24	case
23	unas	DET	24	det
24	jornadas	NOUN	20	obl
25	en	ADP	27	case
26	el	DET	27	det
27	Hivernacle	PROPN	24	nmod
28	del	ADP	29	case
29	parque	NOUN	27	nmod
30	de	ADP	32	case
31	la	DET	32	det
32	Ciutadella	PROPN	29	nmod
33	.	PUNCT	14	punct