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:
Por primera vez desde 1994, el número de víctimas mortales de todo el año en accidente de tráfico descendió en Catalunya, y no poco: un 11%, en comparación con el 2000.
Postion	Tokenization
1	Por
2	primera
3	vez
4	desde
5	1994
6	,
7	el
8	número
9	de
10	víctimas
11	mortales
12	de
13	todo
14	el
15	año
16	en
17	accidente
18	de
19	tráfico
20	descendió
21	en
22	Catalunya
23	,
24	y
25	no
26	poco
27	:
28	un
29	11%
30	,
31	en
32	comparación
33	con
34	el
35	2000
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	primera	ADJ	3	amod
3	vez	NOUN	20	obl
4	desde	ADP	5	case
5	1994	NOUN	3	nmod
6	,	PUNCT	3	punct
7	el	DET	8	det
8	número	NOUN	20	nsubj
9	de	ADP	10	case
10	víctimas	NOUN	8	nmod
11	mortales	ADJ	10	amod
12	de	ADP	15	case
13	todo	DET	14	det
14	el	DET	15	det
15	año	NOUN	8	nmod
16	en	ADP	17	case
17	accidente	NOUN	8	nmod
18	de	ADP	19	case
19	tráfico	NOUN	17	nmod
20	descendió	VERB	0	root
21	en	ADP	22	case
22	Catalunya	PROPN	20	obl
23	,	PUNCT	26	punct
24	y	CCONJ	26	cc
25	no	ADV	26	advmod
26	poco	PRON	20	conj
27	:	PUNCT	29	punct
28	un	DET	29	det
29	11%	SYM	26	nmod
30	,	PUNCT	32	punct
31	en	ADP	32	case
32	comparación	NOUN	29	nmod
33	con	ADP	35	case
34	el	DET	35	det
35	2000	NOUN	32	nmod
36	.	PUNCT	20	punct