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:
Fuentes de Tráfico señalaron que a primeras horas de la mañana se produjeron dos cortes de tráfico, que provocaron retenciones de hasta 4 kilómetros en dirección a Alicante y de 3 kilómetros en dirección a Barcelona.
Postion	Tokenization
1	Fuentes
2	de
3	Tráfico
4	señalaron
5	que
6	a
7	primeras
8	horas
9	de
10	la
11	mañana
12	se
13	produjeron
14	dos
15	cortes
16	de
17	tráfico
18	,
19	que
20	provocaron
21	retenciones
22	de
23	hasta
24	4
25	kilómetros
26	en
27	dirección
28	a
29	Alicante
30	y
31	de
32	3
33	kilómetros
34	en
35	dirección
36	a
37	Barcelona
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Fuentes	NOUN	4	nsubj
2	de	ADP	3	case
3	Tráfico	PROPN	1	nmod
4	señalaron	VERB	0	root
5	que	SCONJ	13	mark
6	a	ADP	8	case
7	primeras	ADJ	8	amod
8	horas	NOUN	13	obl
9	de	ADP	11	case
10	la	DET	11	det
11	mañana	NOUN	8	nmod
12	se	PRON	13	expl:pv
13	produjeron	VERB	4	ccomp
14	dos	NUM	15	nummod
15	cortes	NOUN	13	nsubj
16	de	ADP	17	case
17	tráfico	NOUN	15	nmod
18	,	PUNCT	20	punct
19	que	PRON	20	nsubj
20	provocaron	VERB	15	acl
21	retenciones	NOUN	20	obj
22	de	ADP	25	case
23	hasta	ADV	25	advmod
24	4	NUM	23	nummod
25	kilómetros	NOUN	21	nmod
26	en	ADP	29	case
27	dirección	NOUN	26	fixed
28	a	ADP	26	fixed
29	Alicante	PROPN	25	nmod
30	y	CCONJ	33	cc
31	de	ADP	33	case
32	3	NUM	33	nummod
33	kilómetros	NOUN	25	conj
34	en	ADP	37	case
35	dirección	NOUN	34	fixed
36	a	ADP	34	fixed
37	Barcelona	PROPN	33	nmod
38	.	PUNCT	4	punct