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:
Posteriormente, la caravana de camiones ocupó el carril derecho de la calzada y dejó pasar a los turismos por el izquierdo, lo que provocó tráfico lento y algunas retenciones.
Postion	Tokenization
1	Posteriormente
2	,
3	la
4	caravana
5	de
6	camiones
7	ocupó
8	el
9	carril
10	derecho
11	de
12	la
13	calzada
14	y
15	dejó
16	pasar
17	a
18	los
19	turismos
20	por
21	el
22	izquierdo
23	,
24	lo
25	que
26	provocó
27	tráfico
28	lento
29	y
30	algunas
31	retenciones
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Posteriormente	ADV	7	advmod
2	,	PUNCT	1	punct
3	la	DET	4	det
4	caravana	NOUN	7	nsubj
5	de	ADP	6	case
6	camiones	NOUN	4	nmod
7	ocupó	VERB	0	root
8	el	DET	9	det
9	carril	NOUN	7	obj
10	derecho	ADJ	9	amod
11	de	ADP	13	case
12	la	DET	13	det
13	calzada	NOUN	9	nmod
14	y	CCONJ	15	cc
15	dejó	VERB	7	conj
16	pasar	VERB	15	xcomp
17	a	ADP	19	case
18	los	DET	19	det
19	turismos	NOUN	16	obj
20	por	ADP	22	case
21	el	DET	22	det
22	izquierdo	ADJ	15	advmod
23	,	PUNCT	26	punct
24	lo	PRON	26	det
25	que	PRON	26	nsubj
26	provocó	VERB	16	advcl
27	tráfico	NOUN	26	obj
28	lento	ADJ	27	amod
29	y	CCONJ	31	cc
30	algunas	DET	31	det
31	retenciones	NOUN	27	conj
32	.	PUNCT	7	punct