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:
Con tan poco desempleo - a juicio de los analistas un 4 por ciento de cesantía equivale a una situación de pleno empleo - las empresas ya han empezado a ofrecer incentivos para sus empleados, como computadores gratis, gimnasios en las industrias y hasta coches deportivos para algunos ejecutivos.
Postion	Tokenization
1	Con
2	tan
3	poco
4	desempleo
5	-
6	a
7	juicio
8	de
9	los
10	analistas
11	un
12	4
13	por
14	ciento
15	de
16	cesantía
17	equivale
18	a
19	una
20	situación
21	de
22	pleno
23	empleo
24	-
25	las
26	empresas
27	ya
28	han
29	empezado
30	a
31	ofrecer
32	incentivos
33	para
34	sus
35	empleados
36	,
37	como
38	computadores
39	gratis
40	,
41	gimnasios
42	en
43	las
44	industrias
45	y
46	hasta
47	coches
48	deportivos
49	para
50	algunos
51	ejecutivos
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	4	case
2	tan	ADV	3	advmod
3	poco	ADJ	4	amod
4	desempleo	NOUN	29	obl
5	-	PUNCT	17	punct
6	a	ADP	7	case
7	juicio	NOUN	17	obl
8	de	ADP	10	case
9	los	DET	10	det
10	analistas	NOUN	7	nmod
11	un	DET	12	det
12	4	NUM	17	nsubj
13	por	ADP	14	case
14	ciento	NUM	12	compound
15	de	ADP	16	case
16	cesantía	NOUN	12	nmod
17	equivale	VERB	31	parataxis
18	a	ADP	20	case
19	una	DET	20	det
20	situación	NOUN	17	obj
21	de	ADP	23	case
22	pleno	ADJ	23	amod
23	empleo	NOUN	20	nmod
24	-	PUNCT	17	punct
25	las	DET	26	det
26	empresas	NOUN	29	nsubj
27	ya	ADV	29	advmod
28	han	AUX	29	aux
29	empezado	VERB	0	root
30	a	ADP	31	mark
31	ofrecer	VERB	29	xcomp
32	incentivos	NOUN	31	obj
33	para	ADP	35	case
34	sus	DET	35	det
35	empleados	NOUN	31	obj
36	,	PUNCT	38	punct
37	como	SCONJ	38	mark
38	computadores	NOUN	29	obl
39	gratis	ADV	38	advmod
40	,	PUNCT	41	punct
41	gimnasios	NOUN	38	conj
42	en	ADP	44	case
43	las	DET	44	det
44	industrias	NOUN	41	nmod
45	y	CCONJ	47	cc
46	hasta	ADV	47	advmod
47	coches	NOUN	38	conj
48	deportivos	ADJ	47	amod
49	para	ADP	51	case
50	algunos	DET	51	det
51	ejecutivos	NOUN	47	nmod
52	.	PUNCT	29	punct