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 Caja Checa de Ahorros, ya comprada por el Erste Basnk de Austria, ha reducido su plantilla desde 18.700 en 1996 a los actuales 15.100 y tiene planeado reducirlo a 14.000 antes del fin del año.
Postion	Tokenization
1	La
2	Caja
3	Checa
4	de
5	Ahorros
6	,
7	ya
8	comprada
9	por
10	el
11	Erste
12	Basnk
13	de
14	Austria
15	,
16	ha
17	reducido
18	su
19	plantilla
20	desde
21	18.700
22	en
23	1996
24	a
25	los
26	actuales
27	15.100
28	y
29	tiene
30	planeado
31	reducirlo
32	reducir
33	lo
34	a
35	14.000
36	antes
37	del
38	fin
39	del
40	año
41	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Caja	PROPN	17	nsubj
3	Checa	PROPN	2	flat
4	de	ADP	5	case
5	Ahorros	PROPN	2	flat
6	,	PUNCT	8	punct
7	ya	ADV	8	advmod
8	comprada	ADJ	2	amod
9	por	ADP	11	case
10	el	DET	11	det
11	Erste	PROPN	8	obj
12	Basnk	PROPN	11	flat
13	de	ADP	14	case
14	Austria	PROPN	11	flat
15	,	PUNCT	8	punct
16	ha	AUX	17	aux
17	reducido	VERB	0	root
18	su	DET	19	det
19	plantilla	NOUN	17	obj
20	desde	ADP	21	case
21	18.700	NUM	17	obl
22	en	ADP	23	case
23	1996	NOUN	17	obl
24	a	ADP	27	case
25	los	DET	27	det
26	actuales	ADJ	27	amod
27	15.100	NUM	17	obl
28	y	CCONJ	29	cc
29	tiene	VERB	17	conj
30	planeado	ADJ	29	iobj
31	reducirlo	_	None	_
32	reducir	VERB	29	xcomp
33	lo	PRON	31	obj
34	a	ADP	34	case
35	14.000	NUM	31	obl
36	antes	ADV	31	advmod
37	del	ADP	37	case
38	fin	NOUN	35	obl
39	del	ADP	39	case
40	año	NOUN	37	nmod
41	.	PUNCT	17	punct