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:
Las bajas del sancionado Mendieta, en el Valencia, y el lesionado Chiesa, en la Fiorentina, se dejaron sentir en el nivel del juego.
Postion	Tokenization
1	Las
2	bajas
3	del
4	sancionado
5	Mendieta
6	,
7	en
8	el
9	Valencia
10	,
11	y
12	el
13	lesionado
14	Chiesa
15	,
16	en
17	la
18	Fiorentina
19	,
20	se
21	dejaron
22	sentir
23	en
24	el
25	nivel
26	del
27	juego
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	bajas	NOUN	21	nsubj
3	del	ADP	5	case
4	sancionado	ADJ	5	amod
5	Mendieta	PROPN	2	nmod
6	,	PUNCT	9	punct
7	en	ADP	9	case
8	el	DET	9	det
9	Valencia	PROPN	5	nmod
10	,	PUNCT	9	punct
11	y	CCONJ	14	cc
12	el	DET	14	det
13	lesionado	ADJ	14	amod
14	Chiesa	PROPN	5	conj
15	,	PUNCT	18	punct
16	en	ADP	18	case
17	la	DET	18	det
18	Fiorentina	PROPN	14	nmod
19	,	PUNCT	18	punct
20	se	PRON	21	iobj
21	dejaron	VERB	0	root
22	sentir	VERB	21	xcomp
23	en	ADP	25	case
24	el	DET	25	det
25	nivel	NOUN	21	obl
26	del	ADP	27	case
27	juego	NOUN	25	nmod
28	.	PUNCT	21	punct