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:
A partir de las 11.30 horas, empezó una nueva concentración de camiones en la N-340 Valencia-Barcelona a su paso por la localidad de Sagunto, según fuentes de Tráfico.
Postion	Tokenization
1	A
2	partir
3	de
4	las
5	11.30
6	horas
7	,
8	empezó
9	una
10	nueva
11	concentración
12	de
13	camiones
14	en
15	la
16	N-340
17	Valencia-Barcelona
18	a
19	su
20	paso
21	por
22	la
23	localidad
24	de
25	Sagunto
26	,
27	según
28	fuentes
29	de
30	Tráfico
31	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	6	case
2	partir	NOUN	1	fixed
3	de	ADP	1	fixed
4	las	DET	5	det
5	11.30	NOUN	6	nmod
6	horas	NOUN	8	obl
7	,	PUNCT	6	punct
8	empezó	VERB	0	root
9	una	DET	11	det
10	nueva	ADJ	11	amod
11	concentración	NOUN	8	nsubj
12	de	ADP	13	case
13	camiones	NOUN	11	nmod
14	en	ADP	16	case
15	la	DET	16	det
16	N-340	PROPN	11	nmod
17	Valencia-Barcelona	PROPN	16	flat
18	a	ADP	20	case
19	su	DET	20	det
20	paso	NOUN	16	nmod
21	por	ADP	23	case
22	la	DET	23	det
23	localidad	NOUN	20	nmod
24	de	ADP	25	case
25	Sagunto	PROPN	23	nmod
26	,	PUNCT	28	punct
27	según	ADP	28	case
28	fuentes	NOUN	8	obl
29	de	ADP	30	case
30	Tráfico	PROPN	28	nmod
31	.	PUNCT	8	punct