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:
Un tercio de los 39.548 conductores que fueron sancionados por conducir demasiado deprisa, llevaban una velocidad que superaba en más de 40 km/h la permitida.
Postion	Tokenization
1	Un
2	tercio
3	de
4	los
5	39.548
6	conductores
7	que
8	fueron
9	sancionados
10	por
11	conducir
12	demasiado
13	deprisa
14	,
15	llevaban
16	una
17	velocidad
18	que
19	superaba
20	en
21	más
22	de
23	40
24	km/h
25	la
26	permitida
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	tercio	NOUN	6	nmod
3	de	ADP	2	case
4	los	DET	2	det
5	39.548	NUM	2	nummod
6	conductores	NOUN	15	nsubj
7	que	PRON	9	nsubj
8	fueron	AUX	9	aux
9	sancionados	VERB	6	acl
10	por	ADP	11	mark
11	conducir	VERB	9	advcl
12	demasiado	ADV	13	advmod
13	deprisa	ADV	11	advmod
14	,	PUNCT	6	punct
15	llevaban	VERB	0	root
16	una	DET	17	det
17	velocidad	NOUN	15	obj
18	que	PRON	19	nsubj
19	superaba	VERB	17	acl
20	en	ADP	24	case
21	más	ADV	24	advmod
22	de	ADP	21	case
23	40	NUM	21	nummod
24	km/h	NUM	19	obl
25	la	DET	26	det
26	permitida	ADJ	19	obj
27	.	PUNCT	15	punct