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:
En La Coruña, José Carrillo, secretario general de UGT de la provincia y miembro del comité de empresa de Santa Bárbara, expresó su temor ante la posibilidad de que la venta encubra una operación especulativa".
Postion	Tokenization
1	En
2	La
3	Coruña
4	,
5	José
6	Carrillo
7	,
8	secretario
9	general
10	de
11	UGT
12	de
13	la
14	provincia
15	y
16	miembro
17	del
18	comité
19	de
20	empresa
21	de
22	Santa
23	Bárbara
24	,
25	expresó
26	su
27	temor
28	ante
29	la
30	posibilidad
31	de
32	que
33	la
34	venta
35	encubra
36	una
37	operación
38	especulativa
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	La	DET	3	det
3	Coruña	PROPN	25	obl
4	,	PUNCT	5	punct
5	José	PROPN	25	nsubj
6	Carrillo	PROPN	5	flat
7	,	PUNCT	5	punct
8	secretario	NOUN	5	appos
9	general	ADJ	8	amod
10	de	ADP	11	case
11	UGT	PROPN	8	nmod
12	de	ADP	14	case
13	la	DET	14	det
14	provincia	NOUN	8	nmod
15	y	CCONJ	16	cc
16	miembro	NOUN	8	conj
17	del	ADP	18	case
18	comité	NOUN	16	nmod
19	de	ADP	20	case
20	empresa	NOUN	18	nmod
21	de	ADP	22	case
22	Santa	PROPN	18	nmod
23	Bárbara	PROPN	22	flat
24	,	PUNCT	5	punct
25	expresó	VERB	0	root
26	su	DET	27	det
27	temor	NOUN	25	obj
28	ante	ADP	30	case
29	la	DET	30	det
30	posibilidad	NOUN	25	obl
31	de	ADP	35	mark
32	que	SCONJ	35	mark
33	la	DET	34	det
34	venta	NOUN	35	nsubj
35	encubra	VERB	30	acl
36	una	DET	37	det
37	operación	NOUN	35	obj
38	especulativa	ADJ	37	amod
39	"	PUNCT	25	punct
40	.	PUNCT	25	punct