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:
Manuel Pablo pasó la noche sin dolores, pero durante el día tuvo que ser sedado a consecuencia de las molestias que le provoca la inflamación de la pierna.
Postion	Tokenization
1	Manuel
2	Pablo
3	pasó
4	la
5	noche
6	sin
7	dolores
8	,
9	pero
10	durante
11	el
12	día
13	tuvo
14	que
15	ser
16	sedado
17	a
18	consecuencia
19	de
20	las
21	molestias
22	que
23	le
24	provoca
25	la
26	inflamación
27	de
28	la
29	pierna
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Manuel	PROPN	3	nsubj
2	Pablo	PROPN	1	flat
3	pasó	VERB	0	root
4	la	DET	5	det
5	noche	NOUN	3	obj
6	sin	ADP	7	case
7	dolores	NOUN	3	obl
8	,	PUNCT	13	punct
9	pero	CCONJ	13	cc
10	durante	ADP	12	case
11	el	DET	12	det
12	día	NOUN	16	obl
13	tuvo	VERB	3	conj
14	que	SCONJ	16	cc
15	ser	AUX	16	aux
16	sedado	VERB	13	conj
17	a	ADP	21	case
18	consecuencia	NOUN	17	fixed
19	de	ADP	17	fixed
20	las	DET	21	det
21	molestias	NOUN	16	obl
22	que	PRON	24	obj
23	le	PRON	24	obj
24	provoca	VERB	21	acl
25	la	DET	26	det
26	inflamación	NOUN	24	nsubj
27	de	ADP	29	case
28	la	DET	29	det
29	pierna	NOUN	26	nmod
30	.	PUNCT	3	punct