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 protesta en los puertos se traduce en una ausencia de actividad del transporte, ya que Transcont considera que no se deben realizar concentraciones "para no molestar a la sociedad".
Postion	Tokenization
1	La
2	protesta
3	en
4	los
5	puertos
6	se
7	traduce
8	en
9	una
10	ausencia
11	de
12	actividad
13	del
14	transporte
15	,
16	ya
17	que
18	Transcont
19	considera
20	que
21	no
22	se
23	deben
24	realizar
25	concentraciones
26	"
27	para
28	no
29	molestar
30	a
31	la
32	sociedad
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	protesta	NOUN	7	nsubj
3	en	ADP	5	case
4	los	DET	5	det
5	puertos	NOUN	2	nmod
6	se	PRON	7	expl:pass
7	traduce	VERB	0	root
8	en	ADP	10	case
9	una	DET	10	det
10	ausencia	NOUN	7	obj
11	de	ADP	12	case
12	actividad	NOUN	10	nmod
13	del	ADP	14	case
14	transporte	NOUN	12	nmod
15	,	PUNCT	19	punct
16	ya	ADV	19	mark
17	que	SCONJ	16	fixed
18	Transcont	PROPN	19	nsubj
19	considera	VERB	7	advcl
20	que	SCONJ	24	mark
21	no	ADV	24	advmod
22	se	PRON	24	expl:pass
23	deben	AUX	24	aux
24	realizar	VERB	19	xcomp
25	concentraciones	NOUN	24	nsubj
26	"	PUNCT	24	punct
27	para	ADP	29	mark
28	no	ADV	29	advmod
29	molestar	VERB	24	advcl
30	a	ADP	32	case
31	la	DET	32	det
32	sociedad	NOUN	29	obj
33	"	PUNCT	24	punct
34	.	PUNCT	7	punct