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:
El Komercni Banka tenía una plantilla de 13.487 empleados a fines de 1999, 470 fueron despedidos durante el primer trimestre del presente año y otros 170 funcionarios fueron trasladados a una filial.
Postion	Tokenization
1	El
2	Komercni
3	Banka
4	tenía
5	una
6	plantilla
7	de
8	13.487
9	empleados
10	a
11	fines
12	de
13	1999
14	,
15	470
16	fueron
17	despedidos
18	durante
19	el
20	primer
21	trimestre
22	del
23	presente
24	año
25	y
26	otros
27	170
28	funcionarios
29	fueron
30	trasladados
31	a
32	una
33	filial
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Komercni	PROPN	4	nsubj
3	Banka	PROPN	2	flat
4	tenía	VERB	0	root
5	una	DET	6	det
6	plantilla	NOUN	4	obj
7	de	ADP	9	case
8	13.487	NUM	9	nummod
9	empleados	NOUN	6	nmod
10	a	ADP	13	case
11	fines	NOUN	10	fixed
12	de	ADP	10	fixed
13	1999	NOUN	4	obl
14	,	PUNCT	4	punct
15	470	NUM	17	nsubj
16	fueron	AUX	17	aux
17	despedidos	VERB	4	advcl
18	durante	ADP	21	case
19	el	DET	21	det
20	primer	ADJ	21	amod
21	trimestre	NOUN	17	obl
22	del	ADP	24	case
23	presente	ADJ	24	amod
24	año	NOUN	21	nmod
25	y	CCONJ	30	cc
26	otros	PRON	27	nmod
27	170	NUM	28	nummod
28	funcionarios	NOUN	30	nsubj
29	fueron	AUX	30	aux
30	trasladados	VERB	17	conj
31	a	ADP	33	case
32	una	DET	33	det
33	filial	NOUN	30	obl
34	.	PUNCT	4	punct