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 líder de esta central, Hubertus Schmoldt, supeditó el apoyo de los trabajadores al compromiso de que los empleos en Alemania y Francia no se vean afectados por la concentración.
Postion	Tokenization
1	El
2	líder
3	de
4	esta
5	central
6	,
7	Hubertus
8	Schmoldt
9	,
10	supeditó
11	el
12	apoyo
13	de
14	los
15	trabajadores
16	al
17	compromiso
18	de
19	que
20	los
21	empleos
22	en
23	Alemania
24	y
25	Francia
26	no
27	se
28	vean
29	afectados
30	por
31	la
32	concentración
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	líder	NOUN	10	nsubj
3	de	ADP	5	case
4	esta	DET	5	det
5	central	NOUN	2	nmod
6	,	PUNCT	7	punct
7	Hubertus	PROPN	2	appos
8	Schmoldt	PROPN	7	flat
9	,	PUNCT	7	punct
10	supeditó	VERB	0	root
11	el	DET	12	det
12	apoyo	NOUN	10	obj
13	de	ADP	15	case
14	los	DET	15	det
15	trabajadores	NOUN	12	nmod
16	al	ADP	17	case
17	compromiso	NOUN	10	obj
18	de	ADP	28	mark
19	que	SCONJ	28	mark
20	los	DET	21	det
21	empleos	NOUN	28	nsubj
22	en	ADP	23	case
23	Alemania	PROPN	21	nmod
24	y	CCONJ	25	cc
25	Francia	PROPN	23	conj
26	no	ADV	28	advmod
27	se	PRON	28	expl:pv
28	vean	VERB	17	acl
29	afectados	ADJ	28	obj
30	por	ADP	32	case
31	la	DET	32	det
32	concentración	NOUN	29	obj
33	.	PUNCT	10	punct