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:
Según la sentencia, dado su estado de embriaguez, el conductor perdió el control del ligero vehículo, colisionó con una valla de protección de la calzada y quedó suspendido sobre la misma.
Postion	Tokenization
1	Según
2	la
3	sentencia
4	,
5	dado
6	su
7	estado
8	de
9	embriaguez
10	,
11	el
12	conductor
13	perdió
14	el
15	control
16	del
17	ligero
18	vehículo
19	,
20	colisionó
21	con
22	una
23	valla
24	de
25	protección
26	de
27	la
28	calzada
29	y
30	quedó
31	suspendido
32	sobre
33	la
34	misma
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	la	DET	3	det
3	sentencia	NOUN	5	obl
4	,	PUNCT	3	punct
5	dado	VERB	0	root
6	su	DET	7	det
7	estado	NOUN	5	nsubj
8	de	ADP	9	case
9	embriaguez	NOUN	7	nmod
10	,	PUNCT	5	punct
11	el	DET	12	det
12	conductor	NOUN	13	nsubj
13	perdió	VERB	5	advcl
14	el	DET	15	det
15	control	NOUN	13	obj
16	del	ADP	18	case
17	ligero	ADJ	18	amod
18	vehículo	NOUN	15	nmod
19	,	PUNCT	20	punct
20	colisionó	VERB	13	advcl
21	con	ADP	23	case
22	una	DET	23	det
23	valla	NOUN	20	obl
24	de	ADP	25	case
25	protección	NOUN	23	nmod
26	de	ADP	28	case
27	la	DET	28	det
28	calzada	NOUN	23	nmod
29	y	CCONJ	30	cc
30	quedó	VERB	13	conj
31	suspendido	ADJ	30	obj
32	sobre	ADP	34	case
33	la	DET	34	det
34	misma	PRON	30	obl
35	.	PUNCT	5	punct