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:
La cifra - - puntualizó Trànsit - - continúa siendo elevada, pero los responsables autonómicos de la gestión de las carreteras quisieron agradecer a los conductores su colaboración a la hora de lograr ese descenso del 11%.
Postion	Tokenization
1	La
2	cifra
3	-
4	-
5	puntualizó
6	Trànsit
7	-
8	-
9	continúa
10	siendo
11	elevada
12	,
13	pero
14	los
15	responsables
16	autonómicos
17	de
18	la
19	gestión
20	de
21	las
22	carreteras
23	quisieron
24	agradecer
25	a
26	los
27	conductores
28	su
29	colaboración
30	a
31	la
32	hora
33	de
34	lograr
35	ese
36	descenso
37	del
38	11%
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	cifra	NOUN	9	nsubj
3	-	PUNCT	5	punct
4	-	PUNCT	5	punct
5	puntualizó	VERB	11	parataxis
6	Trànsit	PROPN	5	nsubj
7	-	PUNCT	5	punct
8	-	PUNCT	5	punct
9	continúa	VERB	0	root
10	siendo	AUX	11	cop
11	elevada	ADJ	9	xcomp
12	,	PUNCT	23	punct
13	pero	CCONJ	23	cc
14	los	DET	15	det
15	responsables	NOUN	23	nsubj
16	autonómicos	ADJ	15	amod
17	de	ADP	19	case
18	la	DET	19	det
19	gestión	NOUN	15	nmod
20	de	ADP	22	case
21	las	DET	22	det
22	carreteras	NOUN	19	nmod
23	quisieron	VERB	11	conj
24	agradecer	VERB	23	xcomp
25	a	ADP	27	case
26	los	DET	27	det
27	conductores	NOUN	24	obj
28	su	DET	29	det
29	colaboración	NOUN	24	obj
30	a	ADP	32	case
31	la	DET	32	det
32	hora	NOUN	29	nmod
33	de	ADP	34	mark
34	lograr	VERB	32	acl
35	ese	DET	36	det
36	descenso	NOUN	34	obj
37	del	ADP	38	case
38	11%	SYM	36	nmod
39	.	PUNCT	9	punct