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:
En algunas carreteras de acceso a Buenos Aires hay piquetes de huelga que impiden el tránsito de camiones con productos agropecuarios, aunque hasta el momento no se registraron disturbios.
Postion	Tokenization
1	En
2	algunas
3	carreteras
4	de
5	acceso
6	a
7	Buenos
8	Aires
9	hay
10	piquetes
11	de
12	huelga
13	que
14	impiden
15	el
16	tránsito
17	de
18	camiones
19	con
20	productos
21	agropecuarios
22	,
23	aunque
24	hasta
25	el
26	momento
27	no
28	se
29	registraron
30	disturbios
31	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	algunas	DET	3	det
3	carreteras	NOUN	9	obl
4	de	ADP	5	case
5	acceso	NOUN	3	nmod
6	a	ADP	7	case
7	Buenos	PROPN	5	nmod
8	Aires	PROPN	7	flat
9	hay	AUX	0	root
10	piquetes	NOUN	9	obj
11	de	ADP	12	case
12	huelga	NOUN	10	nmod
13	que	PRON	14	nsubj
14	impiden	VERB	10	acl
15	el	DET	16	det
16	tránsito	NOUN	14	obj
17	de	ADP	18	case
18	camiones	NOUN	16	nmod
19	con	ADP	20	case
20	productos	NOUN	14	obl
21	agropecuarios	ADJ	20	amod
22	,	PUNCT	29	punct
23	aunque	SCONJ	29	mark
24	hasta	ADP	26	case
25	el	DET	26	det
26	momento	NOUN	29	obl
27	no	ADV	29	advmod
28	se	PRON	29	expl:pass
29	registraron	VERB	9	advcl
30	disturbios	NOUN	29	nsubj
31	.	PUNCT	9	punct