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 delegada de CGT, Francine Blanche, aseguró que las supresiones de empleo en Europa afectarán a 1.500 personas en Francia, 1.360 en Alemania, 549 en el Reino Unido, 479 en Suecia, 385 en Polonia, 273 en la República Checa, 230 en Italia, 227 en Bélgica, 219 en Suiza, 104 en Noruega, 84 en Polonia y 20 en España.
Postion	Tokenization
1	La
2	delegada
3	de
4	CGT
5	,
6	Francine
7	Blanche
8	,
9	aseguró
10	que
11	las
12	supresiones
13	de
14	empleo
15	en
16	Europa
17	afectarán
18	a
19	1.500
20	personas
21	en
22	Francia
23	,
24	1.360
25	en
26	Alemania
27	,
28	549
29	en
30	el
31	Reino
32	Unido
33	,
34	479
35	en
36	Suecia
37	,
38	385
39	en
40	Polonia
41	,
42	273
43	en
44	la
45	República
46	Checa
47	,
48	230
49	en
50	Italia
51	,
52	227
53	en
54	Bélgica
55	,
56	219
57	en
58	Suiza
59	,
60	104
61	en
62	Noruega
63	,
64	84
65	en
66	Polonia
67	y
68	20
69	en
70	España
71	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	delegada	NOUN	9	nsubj
3	de	ADP	4	case
4	CGT	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Francine	PROPN	2	appos
7	Blanche	PROPN	6	flat
8	,	PUNCT	6	punct
9	aseguró	VERB	0	root
10	que	SCONJ	17	mark
11	las	DET	12	det
12	supresiones	NOUN	17	nsubj
13	de	ADP	14	case
14	empleo	NOUN	12	nmod
15	en	ADP	16	case
16	Europa	PROPN	12	nmod
17	afectarán	VERB	9	ccomp
18	a	ADP	20	case
19	1.500	NUM	20	nummod
20	personas	NOUN	17	obj
21	en	ADP	22	case
22	Francia	PROPN	17	obl
23	,	PUNCT	24	punct
24	1.360	NUM	17	obl
25	en	ADP	26	case
26	Alemania	PROPN	24	nmod
27	,	PUNCT	28	punct
28	549	NUM	17	obl
29	en	ADP	31	case
30	el	DET	31	det
31	Reino	PROPN	28	nmod
32	Unido	PROPN	31	flat
33	,	PUNCT	34	punct
34	479	NUM	17	obl
35	en	ADP	36	case
36	Suecia	PROPN	34	nmod
37	,	PUNCT	38	punct
38	385	NUM	17	obl
39	en	ADP	40	case
40	Polonia	PROPN	38	nmod
41	,	PUNCT	42	punct
42	273	NUM	17	obl
43	en	ADP	45	case
44	la	DET	45	det
45	República	PROPN	42	nmod
46	Checa	PROPN	45	flat
47	,	PUNCT	48	punct
48	230	NUM	17	obl
49	en	ADP	50	case
50	Italia	PROPN	48	nmod
51	,	PUNCT	52	punct
52	227	NUM	17	obl
53	en	ADP	54	case
54	Bélgica	PROPN	52	nmod
55	,	PUNCT	56	punct
56	219	NUM	17	obl
57	en	ADP	58	case
58	Suiza	PROPN	56	nmod
59	,	PUNCT	60	punct
60	104	NUM	17	obl
61	en	ADP	62	case
62	Noruega	PROPN	60	nmod
63	,	PUNCT	64	punct
64	84	NUM	17	obl
65	en	ADP	66	case
66	Polonia	PROPN	64	nmod
67	y	CCONJ	68	cc
68	20	NUM	17	conj
69	en	ADP	70	case
70	España	PROPN	68	nmod
71	.	PUNCT	9	punct