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:
Fecsa tiene que mejorar muchísimo sus instalaciones y tendrá que hacer frente a muchas demandas justas, pero seamos serios y demos al César lo que es del César.
Postion	Tokenization
1	Fecsa
2	tiene
3	que
4	mejorar
5	muchísimo
6	sus
7	instalaciones
8	y
9	tendrá
10	que
11	hacer
12	frente
13	a
14	muchas
15	demandas
16	justas
17	,
18	pero
19	seamos
20	serios
21	y
22	demos
23	al
24	César
25	lo
26	que
27	es
28	del
29	César
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Fecsa	PROPN	4	nsubj
2	tiene	VERB	0	root
3	que	SCONJ	4	cc
4	mejorar	VERB	2	conj
5	muchísimo	ADV	4	advmod
6	sus	DET	7	det
7	instalaciones	NOUN	4	obj
8	y	CCONJ	9	cc
9	tendrá	VERB	2	conj
10	que	SCONJ	11	cc
11	hacer	VERB	9	conj
12	frente	NOUN	11	compound
13	a	ADP	15	case
14	muchas	DET	15	det
15	demandas	NOUN	11	obj
16	justas	ADJ	15	amod
17	,	PUNCT	20	punct
18	pero	CCONJ	20	cc
19	seamos	AUX	20	cop
20	serios	ADJ	2	conj
21	y	CCONJ	22	cc
22	demos	VERB	20	conj
23	al	ADP	24	case
24	César	PROPN	22	iobj
25	lo	PRON	29	det
26	que	PRON	29	nsubj
27	es	AUX	29	cop
28	del	ADP	29	case
29	César	PROPN	22	ccomp
30	.	PUNCT	2	punct